Joint coding of chroma residual and filtering in video processing

ABSTRACT

An example method of video processing includes determining, for a conversion between a chroma block of a video and a bitstream representation of the video, applicability of a deblocking filter process to at least some samples at an edge of the chroma block based on a mode of joint coding of chroma residuals for the chroma block. The method also includes performing the conversion based on the determining.

CROSS REFERENCE TO RELATED APPLICATIONS

This application is a continuation of International Patent Application No. PCT/US2020/055329, filed on Oct. 13, 2020, which claims the priority to and benefits of International Patent Application No. PCT/CN2019/111115, filed on Oct. 14, 2019. All the aforementioned patent applications are hereby incorporated by reference in their entireties.

TECHNICAL FIELD

This patent document relates to video coding techniques, devices and systems.

BACKGROUND

Currently, efforts are underway to improve the performance of current video codec technologies to provide better compression ratios or provide video coding and decoding schemes that allow for lower complexity or parallelized implementations. Industry experts have recently proposed several new video coding tools and tests are currently underway for determining their effectivity.

SUMMARY

Devices, systems and methods related to digital video coding, and specifically, to management of motion vectors are described. The described methods may be applied to existing video coding standards (e.g., High Efficiency Video Coding (HEVC) or Versatile Video Coding) and future video coding standards or video codecs.

In one representative aspect, the disclosed technology may be used to provide a method for video processing. This method includes determining, for a conversion between a chroma block of a video and a bitstream representation of the video, applicability of a deblocking filter process to at least some samples at an edge of the chroma block based on a mode of joint coding of chroma residuals for the chroma block. The method also includes performing the conversion based on the determining.

In another representative aspect, the disclosed technology may be used to provide a method for video processing. This method includes determining, for a conversion between a current block of a video and a bitstream representation of the video, a chroma quantization parameter used in a deblocking filtering process applied to at least some samples at an edge of the current block based on information of a corresponding transform block of the current block. The method also includes performing the conversion based on the determining.

In another representative aspect, the disclosed technology may be used to provide a method for video processing. This method includes performing a conversion between a current block of a video and a bitstream representation of the video. During the conversion, a first chroma quantization parameter used in a deblocking filtering process applied to at least some samples along an edge of the current block is based on a second chroma quantization parameter used in a scaling process and a quantization parameter offset associated with a bit depth.

In another representative aspect, the disclosed technology may be used to provide a method for video processing. This method includes performing a conversion between a video comprising one or more coding units and a bitstream representation of the video. The bitstream representation conforms to a format rule that specifies that chroma quantization parameters are included in the bitstream representation at a coding unit level or a transform unit level according to The format rule.

In another representative aspect, the disclosed technology may be used to provide a method for video processing. This method includes performing a conversion between a block of a video and a bitstream representation of the video. The bitstream representation conforms to a format rule specifying that whether a joint coding of chroma residuals mode is applicable to the block is indicated at a coding unit level in the bitstream representation.

In another representative aspect, the disclosed technology may be used to provide a method for video processing. This method includes performing a conversion between a video unit and a coded representation of the video unit, wherein, during the conversion, a deblocking filter is used on boundaries of the video unit such that when a chroma quantization parameter (QP) table is used to derive parameters of the deblocking filter, processing by the chroma QP table is performed on individual chroma QP values.

In another representative aspect, the disclosed technology may be used to provide another method for video processing. This method includes performing a conversion between a video unit and a bitstream representation of the video unit, wherein, during the conversion, a deblocking filter is used on boundaries of the video unit such that chroma QP offsets are used in the deblocking filter, wherein the chroma QP offsets are at picture/slice/tile/brick/subpicture level.

In another representative aspect, the disclosed technology may be used to provide another method for video processing. This method includes performing a conversion between a video unit and a bitstream representation of the video unit, wherein, during the conversion, a deblocking filter is used on boundaries of the video unit such that chroma QP offsets are used in the deblocking filter, wherein information pertaining to a same luma coding unit is used in the deblocking filter and for deriving a chroma QP offset.

In another representative aspect, the disclosed technology may be used to provide another method for video processing. This method includes performing a conversion between a video unit and a bitstream representation of the video unit, wherein, during the conversion, a deblocking filter is used on boundaries of the video unit such that chroma QP offsets are used in the deblocking filter, wherein an indication of enabling usage of the chroma QP offsets is signaled in the bitstream representation.

In another representative aspect, the disclosed technology may be used to provide another method for video processing. This method includes performing a conversion between a video unit and a bitstream representation of the video unit, wherein, during the conversion, a deblocking filter is used on boundaries of the video unit such that chroma QP offsets are used in the deblocking filter, wherein the chroma QP offsets used in the deblocking filter are identical of whether JCCR coding method is applied on a boundary of the video unit or a method different from the JCCR coding method is applied on the boundary of the video unit.

In another representative aspect, the disclosed technology may be used to provide another method for video processing. This method includes performing a conversion between a video unit and a bitstream representation of the video unit, wherein, during the conversion, a deblocking filter is used on boundaries of the video unit such that chroma QP offsets are used in the deblocking filter, wherein a boundary strength (BS) of the deblocking filter is calculated without comparing reference pictures and/or a number of motion vectors (MVs) associated with the video unit at a P side boundary with reference pictures of the video unit at a Q side boundary.

Further, in a representative aspect, an apparatus in a video system comprising a processor and a non-transitory memory with instructions thereon is disclosed. The instructions upon execution by the processor, cause the processor to implement any one or more of the disclosed methods.

Additionally, in a representative aspect, a video decoding apparatus comprising a processor configured to implement any one or more of the disclosed methods.

In another representative aspect, a video encoding apparatus comprising a processor configured to implement any one or more of the disclosed methods.

Also, a computer program product stored on a non-transitory computer readable media, the computer program product including program code for carrying out any one or more of the disclosed methods is disclosed.

The above and other aspects and features of the disclosed technology are described in greater detail in the drawings, the description and the claims.

BRIEF DESCRIPTION OF THE DRAWINGS

FIG. 1 shows an example of an overall processing flow of a blocking deblocking filter process.

FIG. 2 shows an example of a flow diagram of a Bs calculation.

FIG. 3 shows an example of a referred information for Bs calculation at CTU boundary.

FIG. 4 shows an example of pixels involved in filter on/off decision and strong/weak filter selection.

FIG. 5 shows an example of an overall processing flow of deblocking filter process in VVC.

FIG. 6 shows an example of a luma deblocking filter process in VVC.

FIG. 7 shows an example of a chroma deblocking filter process in VVC

FIG. 8 shows an example of a filter length determination for sub PU boundaries.

FIG. 9A shows an example of center positions of a chroma block.

FIG. 9B shows another example of center positions of a chroma block.

FIG. 10 shows examples of blocks at P side and Q side.

FIG. 11 shows examples of usage of a luma block's decoded information.

FIG. 12 is a block diagram of an example of a hardware platform for implementing a visual media decoding or a visual media encoding technique described in the present document.

FIG. 13 shows a flowchart of an example method for video coding.

FIG. 14A shows an example of Placement of CC-ALF with respect to other loop filters (b) Diamond shaped filter.

FIG. 14B shows an example of Placement of CC-ALF with respect to Diamond shaped filter.

FIG. 15 is a block diagram that illustrates an example video coding system.

FIG. 16 is a block diagram that illustrates an encoder in accordance with some embodiments of the present disclosure.

FIG. 17 is a block diagram that illustrates a decoder in accordance with some embodiments of the present disclosure.

FIG. 18 is a block diagram of an example video processing system in which disclosed techniques may be implemented.

FIG. 19 is a flowchart representation of a method for video processing in accordance with the present technology.

FIG. 20 is a flowchart representation of another method for video processing in accordance with the present technology.

FIG. 21 is a flowchart representation of another method for video processing in accordance with the present technology.

FIG. 22 is a flowchart representation of another method for video processing in accordance with the present technology.

FIG. 23 is a flowchart representation of yet another method for video processing in accordance with the present technology.

DETAILED DESCRIPTION 1. Video Coding in HEVC/H.265

Video coding standards have evolved primarily through the development of the well-known ITU-T and ISO/IEC standards. The ITU-T produced H.261 and H.263, ISO/IEC produced MPEG-1 and MPEG-4 Visual, and the two organizations jointly produced the H.262/MPEG-2 Video and H.264/MPEG-4 Advanced Video Coding (AVC) and H.265/HEVC standards. Since H.262, the video coding standards are based on the hybrid video coding structure wherein temporal prediction plus transform coding are utilized. To explore the future video coding technologies beyond HEVC, Joint Video Exploration Team (JVET) was founded by VCEG and MPEG jointly in 2015. Since then, many new methods have been adopted by JVET and put into the reference software named Joint Exploration Model (JEM). In April 2018, the Joint Video Expert Team (JVET) between VCEG (Q6/16) and ISO/IEC JTC1 SC29/WG11 (MPEG) was created to work on the VVC standard targeting at 50% bitrate reduction compared to HEVC.

2.1. Deblocking Scheme in HEVC

A deblocking filter process is performed for each CU in the same order as the decoding process. First, vertical edges are filtered (horizontal filtering), then horizontal edges are filtered (vertical filtering). Filtering is applied to 8×8 block boundaries which are determined to be filtered, for both luma and chroma components. 4×4 block boundaries are not processed in order to reduce the complexity.

FIG. 1 illustrates the overall processing flow of deblocking filter process. A boundary can have three filtering status: no filtering, weak filtering and strong filtering. Each filtering decision is based on boundary strength, Bs, and threshold values, β and t_(C).

Three kinds of boundaries may be involved in the filtering process: CU boundary, TU boundary and PU boundary. CU boundaries, which are outer edges of CU, are always involved in the filtering since CU boundaries are always also TU boundary or PU boundary. When PU shape is 2N×N (N>4) and RQT depth is equal to 1, TU boundary at 8×8 block grid and PU boundary between each PU inside CU are involved in the filtering. One exception is that when the PU boundary is inside the TU, the boundary is not filtered.

2.1.1. Boundary Strength Calculation

Generally speaking, boundary strength (Bs) reflects how strong filtering is needed for the boundary. If Bs is large, strong filtering should be considered.

Let P and Q be defined as blocks which are involved in the filtering, where P represents the block located in left (vertical edge case) or above (horizontal edge case) side of the boundary and Q represents the block located in right (vertical edge case) or above (horizontal edge case) side of the boundary. FIG. 2 illustrates how the Bs value is calculated based on the intra coding mode, existence of non-zero transform coefficients and motion information, reference picture, number of motion vectors and motion vector difference.

Bs is calculated on a 4×4 block basis, but it is re-mapped to an 8×8 grid. The maximum of the two values of Bs which correspond to 8 pixels consisting of a line in the 4×4 grid is selected as the Bs for boundaries in the 8×8 grid.

In order to reduce line buffer memory requirement, only for CTU boundary, information in every second block (4×4 grid) in left or above side is re-used as depicted in FIG. 3.

2.1.2. β and t_(C) Decision

Threshold values β and t_(C) which involving in filter on/off decision, strong and weak filter selection and weak filtering process are derived based on luma quantization parameter of P and Q blocks, QP_(P) and QP_(Q), respectively. Q used to derive β and t_(C) is calculated as follows.

Q = ((QP_(P) + QP_(Q) + 1) ⪢ 1).

A variable β is derived as shown in Table 1, based on Q. If Bs is greater than 1, the variable t_(C) is specified as Table 1 with Clip3(0, 55, Q+2) as input. Otherwise (BS is equal or less than 1), the variable t_(C) is specified as Table 1 with Q as input.

TABLE 1 Derivation of threshold variables β and t_(C) from input Q Q 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 β 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 6 7 8 tc 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 Q 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 β 9 10 11 12 13 14 15 16 17 18 20 22 24 26 28 30 32 34 36 tc 1 1 1 1 1 1 1 1 2 2 2 2 3 3 3 3 4 4 4 Q 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 β 38 40 42 44 46 48 50 52 54 56 58 60 62 64 64 64 64 64 tc 5 5 6 6 7 8 9 9 10 10 11 11 12 12 13 13 14 14

2.1.3. Filter On/Off Decision for 4 Lines

Filter on/off decision is done for four lines as a unit. FIG. 4 illustrates the pixels involving in filter on/off decision. The 6 pixels in the two red boxes for the first four lines are used to determine filter on/off for 4 lines. The 6 pixels in two red boxes for the second 4 lines are used to determine filter on/off for the second four lines.

If dp0+dq0+dp3+dq3<β, filtering for the first four lines is turned on and strong/weak filter selection process is applied. Each variable is derived as follows.

dp 0 = p_(2, 0) − 2 * p_(1, 0) + p_(0, 0), dp 3 = p_(2, 3) − 2 * p_(1, 3) + p_(0, 3), dp 4 = p_(2, 4) − 2 * p_(1, 4) + p_(0, 4), dp 7 = p_(2, 7) − 2 * p_(1, 7) + p_(0, 7) dq 0 = q_(2, 0) − 2 * q_(1, 0) + q_(0, 0), dq 3 = q_(2, 3) − 2 * q_(1, 3) + q_(0, 3), dq 4 = q_(2, 4) − 2 * q_(1, 4) + q_(0, 4), dq 7 = q_(2, 7) − 2 * q_(1, 7) + q_(0, 7)

If the condition is not met, no filtering is done for the first 4 lines. Additionally, if the condition is met, dE, dEp1 and dEp2 are derived for weak filtering process. The variable dE is set equal to 1. If dp0+dp3<+(β>>1))>>3, the variable dEp1 is set equal to 1. If dq0+dq3<(β(β>>1))>>3, the variable dEq1 is set equal to 1.

For the second four lines, decision is made in a same fashion with above.

2.1.4. Strong/Weak Filter Selection for 4 Lines

After the first four lines are determined to filtering on in filter on/off decision, if following two conditions are met, strong filter is used for filtering of the first four lines. Otherwise, weak filter is used for filtering. Involving pixels are same with those used for filter on/off decision as depicted in FIG. 4.

1)  2 * (dp 0 + dq 0) < (β ⪢ 2), p 3₀ − p 0₀ + q 0₀ − q 3₀ < (β ⪢ 3)  and  p 0₀ − q 0₀ < (5 * t_(C) + 1) ⪢ 12)  2 * (dp 3 + dq 3) < (β ⪢ 2), p 3₃ − p 0₃ + q 0₃ − q 3₃ < (β ⪢ 3)  and  p 0₃ − q 0₃ < (5 * t_(C) + 1) ⪢ 1

As a same fashion, if following two conditions are met, strong filter is used for filtering of the second 4 lines. Otherwise, weak filter is used for filtering.

1)  2 * (dp 4 + dq 4) < (β ⪢ 2), p 3₄ − p 0₄ + q 0₄ − q 3₄ < (β ⪢ 3)  and  p 0₄ − q 0₄ < (5 * t_(C) + 1) ⪢ 12)  2 * (dp 7 + dq 7) < (β ⪢ 2), p 3₇ − p 0₇ + q 0₇ − q 3₇ < (β ⪢ 3)  and  p 0₇ − q 0₇ < (5 * t_(C) + 1) ⪢ 1

2.1.4.1. Strong Filtering

For strong filtering, filtered pixel values are obtained by following equations. It is worth to note that three pixels are modified using four pixels as an input for each P and Q block, respectively.

p₀’ = (p₂ + 2 * p₁ + 2 * p₀ + 2 * q₀ + q₁ + 4) ⪢ 3q₀’ = (p₁ + 2 * p₀ + 2 * q₀ + 2 * q₁ + q₂ + 4) ⪢ 3p₁’ = (p₂ + p₁ + p₀ + q₀ + 2) ⪢ 2q₁’ = (p₀ + q₀ + q₁ + q₂ + 2) ⪢ 2p₂’ = (2 * p₃ + 3 * p₂ + p₁ + p₀ + q₀ + 4) ⪢ 3q₂’ = (p₀ + q₀ + q₁ + 3 * q₂ + 2 * q₃ + 4) ⪢ 3

2.1.4.2. Weak Filtering

Let's define Δ as follows.

Δ = (9 * (q₀ − p₀) − 3 * (q₁ − p₁) + 8) ⪢ 4

When abs (Δ) is less than t_(C)*10,

Δ = Clip 3(−t_(C), t_(C), Δ)p₀’ = Clip 1_(Y)(p₀ + Δ)q₀’ = Clip 1_(Y)(q₀ − Δ)

If dEp1 is equal to 1,

Δ p = Clip 3(−(t_(C) ⪢ 1), t_(C) ⪢ 1, (((p₂ + p₀ + 1) ⪢ 1) − p₁ + Δ) ⪢ 1)p₁’ = Clip 1_(Y)(p₁ + Δp)

If dEq1 is equal to 1,

Δ q = Clip 3(−(t_(C) ⪢ 1), t_(C) ⪢ 1, (((q₂ + q₀ + 1) ⪢ 1) − q₁ − Δ) ⪢ 1)q₁’ = Clip 1_(Y)(q₁ + Δq)

It is worth to note that maximum two pixels are modified using three pixels as an input for each P and Q block, respectively.

2.1.4.3. Chroma Filtering

Bs of chroma filtering is inherited from luma. If Bs>1 or if coded chroma coefficient existing case, chroma filtering is performed. No other filtering decision is there. And only one filter is applied for chroma. No filter selection process for chroma is used. The filtered sample values p₀′ and q₀′ are derived as follows.

Δ = Clip 3(−t_(C), t_(C), ((((q₀ − p₀) ⪡ 2) + p₁ − q₁ + 4) ⪢ 3))p₀’ = Clip 1_(C)(p₀ + Δ)q₀’ = Clip 1_(C)(q₀ − Δ)

2.2 Deblocking Scheme in VVC

In the VTM6, deblocking filtering process is mostly the same to those in HEVC. However, the following modifications are added.

A) The filter strength of the deblocking filter dependent of the averaged luma level of the reconstructed samples.

B) Deblocking t_(C) table extension and adaptation to 10-bit video.

C) 4×4 grid deblocking for luma.

D) Stronger deblocking filter for luma.

E) Stronger deblocking filter for chroma.

F) Deblocking filter for subblock boundary.

G) Deblocking decision adapted to smaller difference in motion.

FIG. 5 depicts a flowchart of deblocking filters process in VVC for a coding unit.

2.2.1. Filter Strength Dependent on Reconstructed Average Luma

In HEVC, the filter strength of the deblocking filter is controlled by the variables β and t_(C) which are derived from the averaged quantization parameters qP_(L). In the VTM6, deblocking filter controls the strength of the deblocking filter by adding offset to qP_(L) according to the luma level of the reconstructed samples if the SPS flag of this method is true. The reconstructed luma level LL is derived as follow:

$\begin{matrix} {{LL} = {\left( {\left( {p_{0,0} + p_{0,3} + q_{0,0} + q_{0,3}} \right) ⪢ 2} \right)/\left( {1 ⪡ {bitDepth}} \right)}} & \left( {3\text{-}1} \right) \end{matrix}$

where, the sample values p_(i,k) and q_(i,k) with i=0 . . . 3 and k=0 and 3 can be derived. Then LL is used to decide the offset qpOffset based on the threshold signaled in SPS. After that, the qP_(L), which is derived as follows, is employed to derive the β and t_(C)

$\begin{matrix} {{qP_{L}} = {\left( {\left( {{Qp}_{Q} + {Qp}_{P} + 1} \right) ⪢ 1} \right) + {qpOffset}}} & \left( {3\text{-}2} \right) \end{matrix}$

where Qp_(Q) and Qp_(P) denote the quantization parameters of the coding units containing the sample q_(0,0) and p_(0,0), respectively. In the current VVC, this method is only applied on the luma deblocking process.

2.2.2. 4×4 Deblocking Grid for Luma

HEVC uses an 8×8 deblocking grid for both luma and chroma. In VTM6, deblocking on a 4×4 grid for luma boundaries was introduced to handle blocking artifacts from rectangular transform shapes. Parallel friendly luma deblocking on a 4×4 grid is achieved by restricting the number of samples to be deblocked to 1 sample on each side of a vertical luma boundary where one side has a width of 4 or less or to 1 sample on each side of a horizontal luma boundary where one side has a height of 4 or less.

2.2.3. Boundary Strength Derivation for Luma

The detailed boundary strength derivation could be found in Table 2. The conditions in Table 2 are checked sequentially.

TABLE 2 Boundary strength derivation Conditions Y U V P and Q are BDPCM 0 N/A N/A P or Q is intra 2 2 2 It is a transform block edge, and P or Q is CIIP 2 2 2 It is a transform block edge, and P or Q has non- 1 1 1 zero transform coefficients It is a transform block edge, and P or Q is JCCR N/A 1 1 P and Q are in different coding modes 1 1 1 One or more of the following conditions are true: 1 N/A N/A 1. P and Q are both IBC, and the BV distance >= half-pel in x- or y-di 2. P and Q have different ref pictures*, or have different number of MVs 3. Both P and Q have only one my, and the MV distance >= half-pel in x- or y-dir 4. P has two MVs pointing to two different ref pictures, and P and Q have same ref pictures in the list 0 , the MV pair in the list 0 or list 1 has a distance >= half-pel in x- or y-dir 5. P has two MVs pointing to two different ref pictures, and P and Q have different ref pictures in the list 0, the MV of P in the list 0 and the MV of Q in the list 1 have the distance >= half-pel in x- or y-dir, or the MV of Pin the list 1 and the MV of Q in the list 0 have the distance >= half-pel in x- or y-dir 6. Both P and Q have two MVs pointing to the same ref pictures, and both of the following two conditions are satisfied: The MV of P in the list 0 and the MV of Q in the list 0 has a distance >= half-pel in x- or y-dir or the MV of P in the list 1 and the MV of Q in the list 1 has a distance >= half-pel in x- or y-dir The MV of P in the list 0 and the MV of Q in the list 1 has a distance >= half-pel in x- or y-dir or the MV of P in the list 1 and the MV of Q in the list 0 has a distance >= half-pel in x- or y-dir *Note: The determination of whether the reference pictures used for the two coding sublocks are the same or different is based only on whichpictures are referenced, without regard to whether a prediction is formed using an index into reference picture list 0 or an index into reference picture list 1, and also without regard to whether the index position within a reference picture list is different. Otherwise 0 0 0

2.2.4. Stronger Deblocking Filter for Luma

The proposal uses a bilinear filter when samples at either one side of a boundary belong to a large block. A sample belonging to a large block is defined as when the width>=32 for a vertical edge, and when height>=32 for a horizontal edge.

The bilinear filter is listed below.

Block boundary samples pi for i=0 to Sp-1 and qi for j=0 to Sq-1 (pi and qi follow the definitions in HEVC deblocking described above) are then replaced by linear interpolation as follows:

p_(i)’ = (f_(i) * Middle_(s, t) + (64 − f_(i)) * P_(s) + 32) ⪢ 6), clipped  to  p_(i) ± tcPD_(i)q_(j)’ = (g_(j) * Middle_(s, t) + (64 − g_(j)) * Q_(s) + 32) ⪢ 6), clipped  to  q_(j) ± tcPD_(j)

where tcPD_(i) and tcPD_(j) term is a position dependent clipping described in Section 2.2.5 and g_(j), ƒ_(i), Middle_(s,t), P_(s) and Q_(s) are given below:

Sp, Sq ƒ_(i) = 59 - i * 9, can also be described as ƒ = {59,50,41,32,23,14,5} 7, 7 g_(j) = 59 - j *9, can also be described as g = {59,50,41,32,23,14,5} (p side: 7, Middle_(7, 7) = (2 * (p₀ + g₀) + p₁ + q₁ + p₂ + q₂ + p₃ + q₃ + p₄ + q₄ + p₅ + q₅ + p₆ + q₆ + 8) >> 4 q side: 7) P₇ = (p₆ + p₇ + 1) >> 1, Q₇ = (q₆ + q₇ + 1) >> 1 7, 3 ƒ_(i) = 59 - i * 9, can also be described as ƒ = {59,50,41,32,23,14,5} (p side: 7 g_(j) = 53 - j * 21, can also be described as g = {53,32,11} q side: 3) Middle_(7, 3) = (2 * (p₀ + q₀) + q₀ + 2 * (q₁ + q₂) + p₁ + q₁ + p₂ + p₃ + p₄ + p₅ + p₆ + 8) >> 4 P₇ = (p₆ + p₇ + 1) >> 1, Q₃ = (q₂ + q₃ + 1) >> 1 3, 7 g_(j) = 59 - j * 9, can also be described as g = {59,50,41,32,23,14,5} (p side: 3 ƒ_(i) = 53 - i * 21, can also be described as ƒ={53,32,11} q side: 7) Middle_(3. 7) = (2 * (q₀ + p₀) + p₀ + 2 * (p₁ + p₂) + q₁ + p₁ + q₂ + q₃ + q₄ + q₅ + q₆ + 8) >> 4 Q₇ = (q₆ + q₇ + 1) >> 1, P₃ = (p₂ + p₃ + 1) >> 1 7, 5 g_(j) = 58 - j * 13, can also be described as g = {58,45,32,19,6} (p side: 7 ƒ_(i) = 59 - i * 9, can also be described as ƒ = {59,50,41,32,23,14,5} q side: 5) Middle7, 5 = (2* (p₀ + q₀ + p₁ + q₁) + q₂ + p₂ + q₃ + p₃ + q₄ + p₄ + q₅ + p₅ + 8) >> 4 Q₅ = (q₄ + q₅ + 1) >> 1, P₇ = (p₆ + p₇ + 1) >> 1 5, 7 g_(j) = 59 - j * 9, can also be described as g = {59,50,41,32,23,14,5} (p side: 5 ƒ_(i) = 58 - i * 13, can also be described as ƒ = {58,45,32,19,6} q side: 7) Middle5, 7 = (2* (q₀ + p₀ + p₁ + q₁) + g₂ + p₂ + q₃ + p₃ + q₄ + p₄ + q₅ + p₅ + 8) >> 4 Q₇ = (q₆ + q₇ + 1) >> 1, P₅ = (p₄ + p₅ + 1) >> 1 5, 5 g_(j) = 58 - j * 13, can also be described as g = {58,45,32,19,6} (p side: 5 ƒ_(i) = 58 - i * 13, can also be described as ƒ = {58,45,32,19,6} q side: 5) Middle5, 5 = (2 * (q₀ + p₀ + p₁ + q₁ + q₂ + p₂) + q₃ + p₃ + q₄ + p₄ + 8) >> 4 Q₅ = (q₄ + q₅ + 1) >> 1, P₅ = (p₄ + p₅ + 1) >> 1 5, 3 g_(j) = 53 - j * 21, can also be described as g = {53,32,11} (p side: 5 ƒ_(i) = 58 - i * 13, can also be described as ƒ = {58,45,32,19,6} q side: 3) Middle5, 3 = (q₀ + p₀ + p₁ + q₁ + q₂ + p₂ + q₃ + p₃ + 4) >> 3 Q₃ = (q₂ + q₃ + 1) >> 1, P₅ = (p₄ + p₅ + 1) >> 1 3, 5 g_(j) = 58 - j * 13, can also be described as g = {58,45,32,19,6} (p side: 3 ƒ_(i) = 53 - i *21, can also be described as ƒ = {53,32,11} q side: 5) Middle3, 5 = (q₀ + p₀ + p₁ + q₁ + q₂ + p₂ + q₃ + p₃ + 4) >> 3 Q₅ = (q₄ + q₅ + 1) >> 1, P₃ = (p₂ + p₃ + 1) >> 1

2.2.5. Deblocking CONTROL for luma

The deblocking decision process is described in this sub-section.

Wider-stronger luma filter is filters are used only if all of the Condition 1, Condition 2 and Condition 3 are TRUE.

The condition 1 is the “large block condition”. This condition detects whether the samples at P-side and Q-side belong to large blocks, which are represented by the variable bSidePisLargeBlk and bSideQisLargeBlk respectively. The bSidePisLargeBlk and bSideQisLargeBlk are defined as follows.

bSidePisLargeBlk = ((edge type is vertical and p₀ belongs to CU with width >= 32) ∥ (edge type is horizontal and p₀ belongs to CU with height >= 32))? TRUE: FALSE bSideQisLargeBlk = ((edge type is vertical and q₀ belongs to CU with width >= 32) ∥ (edge type is horizontal and q₀ belongs to CU with height >= 32))? TRUE: FALSE

Based on bSidePisLargeBlk and bSideQisLargeBlk, the condition 1 is defined as follows.

Condition 1 = (bSidePisLargeBlkbSidePisLargeBlk)?TRUE:FALSE

Next, if Condition 1 is true, the condition 2 will be further checked. First, the following variables are derived:

dp0, dp3, dq0, dq3 are first derived as in HEVC if (p side is greater than or equal to 32)

dp0 = (d p 0 + Abs(p_(5, 0) − 2^(*)p_(4, 0) + p_(3, 0)) + 1) ⪢ 1 d p 3 = (d p 3 + Abs(p_(5, 3) − 2^(*)p_(4, 3) + p_(3, 3)) + 1) ⪢ 1

if (q side is greater than or equal to 32)

dq0 = (d q 0 + Abs(q_(5, 0) − 2^(*)q_(4, 0) + q_(3, 0)) + 1) ⪢ 1 d q 3 = (d q 3 + Abs(q_(5, 3) − 2^(*)q_(4, 3) + q_(3, 3)) + 1) ⪢ 1

dpq0, dpq3, dp, dq, d are then derived as in HEVC.

Then the condition 2 is defined as follows.

Condition 2 = (d < β)?TRUE:FALSE

Where d=dp0+dq0+dp3+dq3, as shown in section 2.1.4.

If Condition 1 and Condition 2 are valid it is checked if any of the blocks uses sub-blocks:

If(bSidePisLargeBlk)  If(mode block P == SUBBLOCKMODE)    Sp =5  else    Sp =7 else  Sp = 3 If(bSideQisLargeBlk)   If(mode block Q == SUBBLOCKMODE)     Sq =5   else     Sq =7 else   Sq = 3

Finally, if both the Condition 1 and Condition 2 are valid, the proposed deblocking method will check the condition 3 (the large block Strong filter condition), which is defined as follows. In the Condition 3 StrongFilterCondition, the following variables are derived:

dpq is derived as in HEVC. sp3 = Abs(p3 − p0 ), derived as in HEVC if (p side is greater than or equal to 32)   if(Sp==5)    sp3 = ( sp3 + Abs( p5 − p3 ) + 1) >> 1   else    sp3 = ( sp3 + Abs( p7 − p3 ) + 1) >> 1 sq3 = Abs( q0 − q3 ), derived as in HEVC if (q side is greater than or equal to 32)  If(Sq==5)   sq3 = ( sq3 + Abs( q5 − q3 ) + 1) >> 1  else   sq3 = ( sq3 + Abs( q7 − q3 ) + 1) >> 1

As in HEVC derive, StrongFilterCondition=(dpq is less than (β>>2), sp3+sq3 is less than (3*β>>5), and Abs (p0−q0) is less than (5*t_(C)+1)>>1)?TRUE:FALSE

FIG. 6 depicts the flowchart of luma deblocking filter process.

2.2.6. Strong Deblocking Filter for Chroma

The following strong deblocking filter for chroma is defined:

p₂^(′) = (3^(*)p₃ + 2^(*)p₂ + p₁ + p₀ + q₀ + 4) ⪢ 3 p₁^(′) = (2^(*)p₃ + p₂ + 2^(*)p₁ + p₀ + q₀ + q₁ + 4) ⪢ 3 p₀^(′) = (p₃ + p₂ + p₁ + 2^(*)p₀ + q₀ + q₁ + q₂ + 4) ⪢ 3

The proposed chroma filter performs deblocking on a 4×4 chroma sample grid.

2.2.7. Deblocking Control for Chroma

The above chroma filter performs deblocking on a 8×8 chroma sample grid. The chroma strong filters are used on both sides of the block boundary. Here, the chroma filter is selected when both sides of the chroma edge are greater than or equal to 8 (in unit of chroma sample), and the following decision with three conditions are satisfied. The first one is for decision of boundary strength as well as large block. The second and third one are basically the same as for HEVC luma decision, which are on/off decision and strong filter decision, respectively.

FIG. 7 depicts the flowchart of chroma deblocking filter process.

2.2.8. Position Dependent Clipping

The proposal also introduces a position dependent clipping tcPD which is applied to the output samples of the luma filtering process involving strong and long filters that are modifying 7, 5 and 3 samples at the boundary. Assuming quantization error distribution, it is proposed to increase clipping value for samples which are expected to have higher quantization noise, thus expected to have higher deviation of the reconstructed sample value from the true sample value.

For each P or Q boundary filtered with proposed asymmetrical filter, depending on the result of decision making process described in Section 2.2, position dependent threshold table is selected from Tc7 and Tc3 tables that are provided to decoder as a side information:

Tc7 = {6, 5, 4, 3, 2, 1, 1}; T c 3 = {6, 4, 2}; t c P D = (S P =  = 3)?T c 3:T c 7 t c Q D = (S Q =  = 3)?T c 3:T c7

For the P or Q boundaries being filtered with a short symmetrical filter, position dependent threshold of lower magnitude is applied:

Tc3 = {3, 2, 1};

Following defining the threshold, filtered p′i and q′i sample values are clipped according to tcP and tcQ clipping values:

p^(″)_(i) = clip 3(p^(′)_(i)  + t c P_(i), p^(′)_(i) − t c P_(i), p^(′)_(i)); q^(″)_(j) = clip 3(q^(′)_(j) + tcQ_(j), q^(′)_(j) − tcQ_(j), q^(′)_(j));

where p′_(i) and q′_(i) are filtered sample values, p′_(i), and q′_(j) are output sample value after the clipping and tcP_(i) tcP_(i) are clipping thresholds that are derived from the VVC tc parameter and tcPD and tcQD. Term clip3 is a clipping function as it is specified in VVC.

2.2.9. Sub-Block Deblocking Adjustment

To enable parallel friendly deblocking using both long filters and sub block deblocking the long filters is restricted to modify at most 5 samples on a side that uses sub-block deblocking (AFFINE or ATMVP) as shown in the luma control for long filters. Additionally, the sub-block deblocking is adjusted such that that sub-block boundaries on an 8×8 grid that are close to a CU or an implicit TU boundary is restricted to modify at most two samples on each side.

Following applies to sub-block boundaries that not are aligned with the CU boundary.

If(mode block Q == SUBBLOCKMODE && edge!=0){  if (!(implicitTU && (edge == (64 / 4))))   if (edge == 2 ∥ edge == (orthogonalLength − 2) ∥ edge == (56 / 4) ∥ edge == (72 / 4))    Sp = Sq = 2;   else    Sp = Sq = 3;  else   Sp = Sq = bSideQisLargeBlk? 5:3 }

Where edge equal to 0 corresponds to CU boundary, edge equal to 2 or equal to orthogonalLength−2 corresponds to sub-block boundary 8 samples from a CU boundary etc. Where implicit TU is true if implicit split of TU is used. FIG. 8 show the flowcharts of determination process for TU boundaries and sub-PU boundaries.

Filtering of horizontal boundary is limiting Sp=3 for luma, Sp=1 and Sq=1 for chroma, when the horizontal boundary is aligned with the CTU boundary.

2.2.10. Deblocking Decision Adapted to Smaller Difference in Motion

HEVC enables deblocking of a prediction unit boundary when the difference in at least one motion vector component between blocks on respective side of the boundary is equal to or larger than a threshold of 1 sample. In VTM6, a threshold of a half luma sample is introduced to also enable removal of blocking artifacts originating from boundaries between inter prediction units that have a small difference in motion vectors.

2.3. Combined Inter and Intra Prediction (CIIP)

In VTM6, when a CU is coded in merge mode, if the CU contains at least 64 luma samples (that is, CU width times CU height is equal to or larger than 64), and if both CU width and CU height are less than 128 luma samples, an additional flag is signalled to indicate if the combined inter/intra prediction (CIIP) mode is applied to the current CU. As its name indicates, the CIIP prediction combines an inter prediction signal with an intra prediction signal. The inter prediction signal in the CIIP mode P_(inter) is derived using the same inter prediction process applied to regular merge mode; and the intra prediction signal P_(intra) is derived following the regular intra prediction process with the planar mode. Then, the intra and inter prediction signals are combined using weighted averaging, where the weight value is calculated depending on the coding modes of the top and left neighbouring blocks as follows:

-   -   If the top neighbor is available and intra coded, then set         isIntraTop to 1, otherwise set isIntraTop to 0;     -   If the left neighbor is available and intra coded, then set         isIntraLeft to 1, otherwise set isIntraLeft to 0;     -   If (isIntraLeft+isIntraLeft) is equal to 2, then wt is set to 3;     -   Otherwise, if (isIntraLeft+isIntraLeft) is equal to 1, then wt         is set to 2;     -   Otherwise, set wt to 1.

The CIIP prediction is formed as follows:

P_(CIIP) = ((4 − wt) * P_(inter) + wt * P_(intra) + 2) ⪢ 2

2.4. Chroma QP Table Design in VTM-6.0

In some embodiments, a chroma QP table is used. In some embodiments, a signalling mechanism is used for chroma QP tables, which enables that it is flexible to provide encoders the opportunity to optimize the table for SDR and HDR content. It supports for signalling the tables separately for Cb and Cr components. The proposed mechanism signals the chroma QP table as a piece-wise linear function.

2.5. Transform Skip (TS)

As in HEVC, the residual of a block can be coded with transform skip mode. To avoid the redundancy of syntax coding, the transform skip flag is not signalled when the CU level MTS_CU_flag is not equal to zero. The block size limitation for transform skip is the same to that for MTS in JEM4, which indicate that transform skip is applicable for a CU when both block width and height are equal to or less than 32. Note that implicit MTS transform is set to DCT2 when LFNST or MIP is activated for the current CU. Also the implicit MTS can be still enabled when MTS is enabled for inter coded blocks.

In addition, for transform skip block, minimum allowed Quantization Parameter (QP) is defined as 6*(internalBitDepth−inputBitDepth)+4.

2.6. Joint Coding of Chroma Residuals (JCCR)

In some embodiments, the chroma residuals are coded jointly. The usage (activation) of a joint chroma coding mode is indicated by a TU-level flag tu_joint_cbcr_residual_flag and the selected mode is implicitly indicated by the chroma CBFs. The flag tu_joint_cbcr_residual_flag is present if either or both chroma CBFs for a TU are equal to 1. In the PPS and slice header, chroma QP offset values are signalled for the joint chroma residual coding mode to differentiate from the usual chroma QP offset values signalled for regular chroma residual coding mode. These chroma QP offset values are used to derive the chroma QP values for those blocks coded using the joint chroma residual coding mode. When a corresponding joint chroma coding mode (modes 2 in Table 3) is active in a TU, this chroma QP offset is added to the applied luma-derived chroma QP during quantization and decoding of that TU. For the other modes (modes 1 and 3 in Table 3 Table 3 Reconstruction of chroma residuals. The value CSign is a sign value (+1 or −1), which is specified in the slice header, resJointC[][] is the transmitted residual.), the chroma QPs are derived in the same way as for conventional Cb or Cr blocks. The reconstruction process of the chroma residuals (resCb and resCr) from the transmitted transform blocks is depicted in Table 3. When this mode is activated, one single joint chroma residual block (resJointC[x][y] in Table 3) is signalled, and residual block for Cb (resCb) and residual block for Cr (resCr) are derived considering information such as tu_cbf_cb, tu_cbf_cr, and CSign, which is a sign value specified in the slice header.

At the encoder side, the joint chroma components are derived as explained in the following. Depending on the mode (listed in the tables above), resJointC{1,2} are generated by the encoder as follows:

-   -   If mode is equal to 2 (single residual with reconstruction Cb=C,         Cr=CSign*C), the joint residual is determined according to

$\begin{matrix} {{{{resJointC}\lbrack x\rbrack}\lbrack y\rbrack} = {\left( {{{{resCb}\lbrack x\rbrack}\lbrack y\rbrack} + {{C{Sign}}^{*}{{{resCr}\lbrack x\rbrack}\lbrack y\rbrack}}} \right)/2.}} & \; \end{matrix}$

-   -   Otherwise, if mode is equal to 1 (single residual with         reconstruction Cb=C, Cr=(CSign*C)/2), the joint residual is         determined according to

$\begin{matrix} {{{{resJointC}\lbrack x\rbrack}\lbrack y\rbrack} = {\left( {{4^{*}{{{resCb}\lbrack x\rbrack}\lbrack y\rbrack}} + {2^{*}{C{Sign}}^{*}{{{resCr}\lbrack x\rbrack}\lbrack y\rbrack}}} \right)/5.}} & \; \end{matrix}$

-   -   Otherwise (mode is equal to 3, i. e., single residual,         reconstruction Cr=C, Cb=(CSign*C)/2), the joint residual is         determined according to

$\begin{matrix} {{{{resJointC}\lbrack x\rbrack}\lbrack y\rbrack} = {\left( {{4^{*}resC{{r\lbrack x\rbrack}\lbrack y\rbrack}} + {2^{*}{C{Sign}}^{*}{{{resCb}\lbrack x\rbrack}\lbrack y\rbrack}}} \right)/5.}} & \; \end{matrix}$

TABLE 3 Reconstruction of chroma residuals. The value CSign is a sign value (+1 or −1), which is specified in the slice header, resJointC[ ][ ] is the transmitted residual. tu_cbf_cb tu_cbf_cr reconstruction of Cb and Cr residuals mode 1 0 resCb[ x ][ y ] = resJointC[ x ][ y ] 1 resCr[ x ][ y ] = ( CSign * resJointC[ x ][ y ] ) >> 1 1 1 resCb[ x ][ y ] = resJointC[ x ][ y ] 2 resCr[ x ][ y ] = CSign * resJointC[ x ][ y ] 0 1 resCb[ x ][ y ] = ( CSign * resJointC[ x ][ y ] ) >> 1 3 resCr[ x ][ y ] = resJointC[ x ][ y ]

Different QPs are utilized are the above three modes. For mode 2, the QP offset signaled in PPS for JCCR coded block is applied, while for other two modes, it is not applied, instead, the QP offset signaled in PPS for non-JCCR coded block is applied.

The corresponding specification is as follows:

8.7.1 Derivation process for quantization parameters The variable Qp_(Y) is derived as follows:

$\begin{matrix} {{Qp}_{Y} = {\left( {\left( {{qP}_{Y\_{PRED}} + {CuQpDeltaVal} + 64 + {2^{*}{QpBdOffset}_{Y}}} \right)\%\left( {{64} + {QpBdOffset}_{Y}} \right)} \right) - {QpBdOffset}_{Y}}} & \text{(8-933)} \end{matrix}$

The luma quantization parameter Qp′_(Y) is derived as follows:

$\begin{matrix} {{{Qp}^{\prime}}_{Y} = {{Qp}_{Y} + {QpBdOffset}_{Y}}} & \text{(8-934)} \end{matrix}$

When ChromaArrayType is not equal to 0 and treeType is equal to SINGLE_TREE or DUAL_TREE_CHROMA, the following applies:

-   When treeType is equal to DUAL_TREE_CHROMA, the variable Qp_(Y) is     set equal to the luma quantization parameter Qp_(Y) of the luma     coding unit that covers the luma location     (xCb+cbWidth/2,yCb+cbHeight/2). -   The variables qP_(Cb), qP_(Cr) and qP_(CbCr) are derived as follows:

$\begin{matrix} {{qPi_{Chroma}} = {{Clip}\; 3\left( {{{- Q}\; p\; B\; d\;{Offset}_{C}},63,{Q\; p_{Y}}} \right)}} & \text{(8-935)} \\ {{q\; P\; i_{Cb}} = {{{ChromaQpTable}\lbrack 0\rbrack}\left\lbrack {q\; P\; i_{Chroma}} \right\rbrack}} & \text{(8-936)} \\ {{q\; P\; i_{Cr}} = {{{ChromaQpTable}\lbrack 1\rbrack}\left\lbrack {q\; P\; i_{Chroma}} \right\rbrack}} & \text{(8-937)} \\ {{q\; P\; i_{CbCr}} = {{{ChromaQpTable}\lbrack 2\rbrack}\left\lbrack {q\; P\; i_{Chroma}} \right\rbrack}} & \text{(8-938)} \end{matrix}$

-   The chroma quantization parameters for the Cb and Cr components,     Qp′_(Cb) and Qp′_(Cr), and joint Cb-Cr coding Qp′_(CbCr) are derived     a s follows:

$\begin{matrix} {{{Qp}^{\prime}}_{Cb} = {{{Clip}\; 3\left( {{- {QpBDOffset}_{C}},63,{{qP}_{Cb} + {{pps\_ cb}{\_ qp}{\_ offset}} + {{slice\_ cb}{\_ qp}{\_ offset}} + {CuQpOffset}_{Cb}}} \right)} + {QpBdOffset}_{C}}} & \text{(8-939)} \\ {{{Qp}^{\prime}}_{Cr} = {{{Clip}\; 3\left( {{- {QpBDOffset}_{C}},63,{{qP}_{Cr} + {{pps\_ cr}{\_ qp}{\_ offset}} + {{slice\_ cr}{\_ qp}{\_ offset}} + {CuQpOffset}_{Cr}}} \right)} + {QpBdOffset}_{C}}} & \text{(8-940)} \\ {{{Qp}^{\prime}}_{CbCr} = {{{Clip}\; 3\left( {{- {QpBDOffset}_{C}},63,{{qP}_{CbCr} + {{pps\_ cbcr}{\_ qp}{\_ offset}} + {{slice\_ cbcr}{\_ qp}{\_ offset}} + {CuQpOffset}_{CbCr}}} \right)} + {QpBdOffset}_{C}}} & \text{(8-941)} \end{matrix}$

8.7.3 Scaling Process for Transform Coefficients

Inputs to this process are:

-   a luma location (xTbY,yTbY) specifying the top-left sample of the     current luma transform block relative to the top-left luma sample of     the current picture, -   a variable nTbW specifying the transform block width, -   a variable nTbH specifying the transform block height, -   a variable cIdx specifying the colour component of the current     block, -   a variable bitDepth specifying the bit depth of the current colour     component.     Output of this process is the (nTbW)×(nTbH) array d of scaled     transform coefficients with elements d[x][y].     The quantization parameter qP is derived as follows: -   If cIdx is equal to 0 and transform skip flag[xTbY][yTbY] is equal     to 0, the following applies:

$\begin{matrix} {{qP} = {{Qp}^{\prime}}_{Y}} & \text{(8-950)} \end{matrix}$

-   Otherwise, if cIdx is equal to 0 (and     transform_skip_flag[xTbY][yTbY] is equal to 1), the following     applies:

$\begin{matrix} {{qP} = {{Max}\left( {{{QpPrimeTs}{Min}},{{Qp}^{\prime}}_{Y}} \right)}} & \text{(8-951)} \end{matrix}$

-   Otherwise, if TuCResMode[xTbY][yTbY] is equal to 2, the following     applies:

$\begin{matrix} {{qP} = {{Qp}^{\prime}}_{CbCr}} & \text{(8-952)} \end{matrix}$

-   Otherwise, if cIdx is equal to 1, the following applies:

$\begin{matrix} {{qP} = {{Qp}^{\prime}}_{Cb}} & \text{(8-953)} \end{matrix}$

-   Otherwise (cIdx is equal to 2), the following applies:

$\begin{matrix} {{qP} = {{Qp}^{\prime}}_{Cr}} & \text{(8-954)} \end{matrix}$

2.7. Cross-Component Adaptive Loop Filter (CC-ALF)

FIG. 14A illustrates the placement of CC-ALF with respect to the other loop filters. CC-ALF operates by applying a linear, diamond shaped filter (FIG. 14B) to the luma channel for each chroma component, which is expressed as

where

${{\Delta\;{I_{i}\left( {x,y} \right)}} = {\sum\limits_{{({x_{0},y_{0}})} \in S_{i}}{{I_{0}\left( {{x_{c} + x_{0}},{y_{c} + y_{0}}} \right)}{c_{i}\left( {x_{0},y_{0}} \right)}}}},$

-   -   (x,y) is chroma component i location being refined     -   (x_(C),y_(C)) is the luma location based on (x,y)     -   S_(i) is filter support in luma for chroma component i     -   c_(i)(x₀,y₀) represents the filter coefficients

Key features characteristics of the CC-ALF process include:

The luma location (x_(C),y_(C)), around which the support region is centered, is computed based on the spatial scaling factor between the luma and chroma planes.

All filter coefficients are transmitted in the APS and have 8-bit dynamic range.

An APS may be referenced in the slice header.

CC-ALF coefficients used for each chroma component of a slice are also stored in a buffer corresponding to a temporal sublayer. Reuse of these sets of temporal sublayer filter coefficients is facilitated using slice-level flags.

The application of the CC-ALF filters is controlled on a variable block size and signalled by a context-coded flag received for each block of samples. The block size along with an CC-ALF enabling flag is received at the slice-level for each chroma component.

Boundary padding for the horizontal virtual boundaries makes use of repetition. For the remaining boundaries the same type of padding is used as for regular ALF.

3. Drawbacks of Existing Implementations

DMVR and BIO do not involve the original signal during refining the motion vectors, which may result in coding blocks with inaccurate motion information. Also, DMVR and BIO sometimes employ the fractional motion vectors after the motion refinements while screen videos usually have integer motion vectors, which makes the current motion information more inaccurate and make the coding performance worse.

-   -   1. The interaction between chroma QP table and chroma deblocking         may have problems, e.g. chroma QP table should be applied to         individual QP but not weighted sum of QPs.     -   2. The logic of luma deblocking filtering process is complicated         for hardware design.     -   3. The logic of boundary strength derivation is too complicated         for both software and hardware design.     -   4. In the BS decision process, JCCR is treated separately from         those blocks coded without JCCT applied. However, JCCR is only a         special way to code the residual. Therefore, such design may         bring additional complexity without no clear benefits.     -   5. In chroma edge decision, Qp_(Q) and Qp_(P) are set equal to         the Qp_(Y) values of the coding units which include the coding         blocks containing the sample q_(0,0) and p_(0,0) , respectively.         However, in the quantization/de-quantization process, the QP for         a chroma sample is derived from the QP of luma block covering         the corresponding luma sample of the center position of current         chroma CU. When dual tree is enabled, the different locations of         luma blocks may result in different QPs. Therefore, in the         chroma deblocking process, wrong QPs may be used for filter         decision. Such a misalignment may result in visual artifacts. An         example is shown in FIGS. 9A-B. FIG. 9A shows the corresponding         CTB partitioning for luma block and FIG. 9B shows the chroma CTB         partitioning under dual tree. When determining the QP for chroma         block, denoted by CU_(c)1, the center position of CU_(c)1 is         firstly derived. Then the corresponding luma sample of the         center position of CU_(c)1 is identified and luma QP associated         with the luma CU that covers the corresponding luma sample,         i.e., CU_(Y)3 is then untilized to derive the QP for CU_(C)1.         However, when making filter decisions for the depicted three         samples (with solid circles), the QPs of CUs that cover the         corresponding 3 samples are selected. Therefore, for the 1^(st),         2^(nd), and 3^(rd) chroma sample (depicted in FIG. 9B), the QPs         of CU_(Y)2, CU_(Y)3, CU_(Y)4 are utilized, respectively. That         is, chroma samples in the same CU may use different QPs for         filter decision which may result in wrong decisions.     -   6. A different picture level QP offset (i.e.,         pps_joint_cbcr_qp_offset) is applied to JCCR coded blocks which         is different from the picture level offsets for Cb/Cr (e.g.,         pps_cb_qp_offset and pps_cr_qp_offset) applied to non-JCCR coded         blocks. However, in the chroma deblocking filter decision         process, only those offsets for non-JCCR coded blocks are         utilized. The missing of consideration of coded modes may result         in wrong filter decision.     -   7. The TS and non-TS coded blocks employ different QPs in the         de-quantization process, which may be also considered in the         deblocking process.     -   8. Different QPs are used in the scaling process         (quantization/dequantization) for JCCR coded blocks with         different modes. Such a design is not consistent.     -   9. The chroma deblocking for Cb/Cr could be unfied for parallel         design.

4. Example Techniques and Embodiments

The detailed embodiments described below should be considered as examples to explain general concepts. These embodiments should not be interpreted narrowly way. Furthermore, these embodiments can be combined in any manner.

The methods described below may be also applicable to other decoder motion information derivation technologies in addition to the DMVR and BIO mentioned below.

In the following examples, MVM[i].x and MVM[i].y denote the horizontal and vertical component of the motion vector in reference picture list i (i being 0 or 1) of the block at M (M being P or Q) side. Abs denotes the operation to get the absolute value of an input, and “&&” and “∥” denotes the logical operation AND and OR. Referring to FIG. 10, P may denote the samples at P side and Q may denote the samples at Q side. The blocks at P side and Q side may denote the block marked by the dash lines.

Regarding Chroma QP in Deblocking

-   -   1. When chroma QP table is used to derive parameters to control         chroma deblocking (e.g., in the decision process for chroma         block edges), chroma QP offsets may be applied after applying         chroma QP table.         -   a. In one example, the chroma QP offsets may be added to the             value outputted by a chroma QP table.         -   b. Alternatively, the chroma QP offsets may be not             considered as input to a chroma QP table.         -   c. In one example, the chroma QP offsets may be the             picture-level or other video unit-level             (slice/tile/brick/subpicture) chroma quantization parameter             offset (e.g., pps_cb_qp_offset, pps_cr_qp_offset in the             specification).     -   2. QP clipping may be not applied to the input of a chroma QP         table.     -   3. It is proposed that deblocking process for chroma components         may be based on the mapped chroma QP (by the chroma QP table) on         each side.         -   a. In one example, it is proposed that deblocking             parameters, (e.g., β and tC) for chroma may be based on QP             derived from luma QP on each side.         -   b. In one example, the chroma deblocking parameter may             depend on chroma QP table value with QpP as the table index,             where QpP, is the luma QP value on P-side.         -   c. In one example, the chroma deblocking parameter may             depend on chroma QP table value with QpQ as the table index,             where QpQ, is the luma QP value on Q-side.     -   4. It is proposed that deblocking process for chroma components         may be based on the QP applied to quantization/dequantization         for the chroma block.         -   a. In one example, QP for deblocking process may be equal to             the QP in dequantization.     -   5. It is proposed to consider the         picture/slice/tile/brick/subpicture level quantization parameter         offsets used for different coding methods in the deblocking         filter decision process.         -   a. In one example, selection of             picture/slice/tile/brick/subpicture level quantization             parameter offsets for filter decision (e.g., the chroma edge             decision in the deblocking filter process) may depend on the             coded methods for each side.         -   b. In one example, the filtering process (e.g., the chroma             edge decision process) which requires to use the             quantization parameters for chroma blocks may depend on             whether the blocks use JCCR.             -   i. Alternatively, furthermore, the picture/slice-level                 QP offsets (e.g., pps_joint_cbcr_qp_offset) applied to                 JCCR coded blocks may be further taken into                 consideration in the deblocking filtering process.             -   ii. In one example, the cQpPicOffset which is used to                 decide Tc and β settings may be set to                 pps_joint_cbcr_qp_offset instead of pps_cb_qp_offset or                 pps_cr_qp_offset under certain conditions:                 -   1. In one example, when either block in P or Q sides                     uses JCCR.                 -   2. In one example, when both blocks in P or Q sides                     uses JCCR.             -   iii. Alternatively, furthermore, the filtering process                 may depend on the mode of JCCR (e.g., whether mode is                 equal to 2).     -   6. The chroma filtering process (e.g., the chroma edge decision         process) which requires to access the decoded information of a         luma block may utilize the information associated with the same         luma coding block that is used to derive the chroma QP in the         dequantization/quantization process.         -   a. In one example, the chroma filtering process (e.g., the             chroma edge decision process) which requires to use the             quantization parameters for luma blocks may utilize the luma             coding unit covering the corresponding luma sample of the             center position of current chroma CU.         -   b. An example is depicted in FIGS. 9A-B wherein the decoded             information of CU_(Y)3 may be used for filtering decision of             the three chroma samples (1^(st), 2^(nd) and 3^(rd)) in FIG.             9B.     -   7. The chroma filtering process (e.g., the chroma edge decision         process) may depend on the quantization parameter applied to the         scaling process of the chroma block (e.g.,         quantization/dequantization).         -   a. In one example, the QP used to derive β and Tc may depend             on the QP applied to the scaling process of the chroma             block.         -   b. Alternatively, furthermore, the QP used to the scaling             process of the chroma block may have taken the chroma CU             level QP offset into consideration.     -   8. Whether to invoke above bullets may depend on the sample to         be filtered is in the block at P or Q side.         -   a. For example, whether to use the information of the luma             coding block covering the corresponding luma sample of             current chroma sample or use the information of the luma             coding block covering the corresponding luma sample of             center position of chroma coding block covering current             chroma sample may depend on the block position.             -   i. In one example, if the current chroma sample is in                 the block at the Q side, QP information of the luma                 coding block covering the corresponding luma sample of                 center position of chroma coding block covering current                 chroma sample may be used.             -   ii. In one example, if the current chroma sample is in                 the block at the P side, QP information of the luma                 coding block covering the corresponding luma sample of                 the chroma sample may be used.     -   9. Chroma QP used in deblocking may depend on information of the         corresponding transform block.         -   a. In one example, chroma QP for deblocking at P-side may             depend on the transform block's mode at P-side.             -   i. In one example, chroma QP for deblocking at P-side                 may depend on if the transform block at P-side is coded                 with JCCR applied.             -   ii. In one example, chroma QP for deblocking at P-side                 may depend on if the transform block at P-side is coded                 with joint_cb_cr_mode and the mode of JCCR is equal to                 2.         -   b. In one example, chroma QP for deblocking at Q-side may             depend on the transform block's mode at Q-side.             -   i. In one example, chroma QP for deblocking at Q-side                 may depend on if the transform block at Q-side is coded                 with JCCR applied.             -   ii. In one example, chroma QP for deblocking at Q-side                 may depend on if the transform block at Q-side is coded                 with JCCR applied and the mode of JCCR is equal to 2.     -   10. Signaling of chroma QPs may be in coding unit.         -   a. In one example, when coding unit size is larger than the             maximum transform block size, i.e., maxTB, chroma QP may be             signaled in CU level. Alternatively, it may be signaled in             TU level.         -   b. In one example, when coding unit size is larger than the             size of VPDU, chroma QP may be signaled in CU level.             Alternatively, it may be signaled in TU level.     -   11. Whether a block is of joint_cb_cr mode may be indicated at         coding unit level.         -   a. In one example, whether a transform block is of             joint_cb_cr mode may inherit the information of the coding             unit containing the transform block.     -   12. Chroma QP used in deblocking may depend on chroma QP used in         scaling process minus QP offset due to bit depth.         -   a. In one example, Chroma QP used in deblocking at P-side is             set to the JCCR chroma QP used in scaling process, i.e.             Qp′_(CbCr), minus QpBdOffsetC when TuCResMode[xTb][yTb] is             equal to 2 where (xTb,yTb) denotes the transform blocking             containing the first sample at P-side, i.e. p_(0,0).         -   b. In one example, Chroma QP used in deblocking at P-side is             set to the Cb chroma QP used in scaling process, i.e.             Qp′_(Cb), minus QpBdOffsetC when TuCResMode[xTb][yTb] is             equal to 2 where (xTb,yTb) denotes the transform blocking             containing the first sample at P-side, i.e. p_(0,0).         -   c. In one example, Chroma QP used in deblocking at P-side is             set to the Cr chroma QP used in scaling process, i.e.             Qp′_(Cr), minus QpBdOffsetC when TuCResMode[xTb][yTb] is             equal to 2 where (xTb,yTb) denotes the transform blocking             containing the first sample at P-side, i.e. p_(0,0).         -   d. In one example, Chroma QP used in deblocking at Q-side is             set to the JCCR chroma QP used in scaling process, i.e.             Qp′_(CbCr), minus QpBdOffsetC when TuCResMode[xTb][yTb] is             equal to 2 where (xTb,yTb) denotes the transform blocking             containing the last sample at Q-side, i.e. q_(0,0).         -   e. In one example, Chroma QP used in deblocking at Q-side is             set to the Cb chroma QP used in scaling process, i.e.             Qp′_(Cb), minus QpBdOffsetC when TuCResMode[xTb][yTb] is             equal to 2 where (xTb,yTb) denotes the transform blocking             containing the last sample at Q-side, i.e. q_(0,0).     -   13. In one example, Chroma QP used in deblocking at Q-side is         set to the Cr chroma QP used in scaling process, i.e. Qp′_(Cr),         minus QpBdOffsetC when TuCResMode[xTb][yTb] is equal to 2 where         (xTb,yTb) denotes the transform blocking containing the last         sample at Q-side, i.e. q_(0,0)

Regarding QP Settings

-   -   14. It is proposed to signal the indication of enabling         block-level chroma QP offset (e.g.         slice_cu_chroma_qp_offset_enabled_flag) at the         slice/tile/brick/subpicture level.         -   a. Alternatively, the signaling of such an indication may be             conditionally signaled.             -   i. In one example, it may be signaled under the                 condition of JCCR enabling flag.             -   ii. In one example, it may be signaled under the                 condition of block-level chroma QP offset enabling flag                 in picture level.             -   iii. Alternatively, such an indication may be derived                 instead.         -   b. In one example, the             slice_cu_chroma_qp_offset_enabled_flag may be signaled only             when the PPS flag of chroma QP offset (e.g.             slice_cu_chroma_qp_offset_enabled_flag) is true.         -   c. In one example, the             slice_cu_chroma_qp_offset_enabled_flag may be inferred to             false only when the PPS flag of chroma QP offset (e.g.             slice_cu_chroma_qp_offset_enabled_flag) is false.         -   d. In one example, whether to use the chroma QP offset on a             block may be based on the flags of chroma QP offset at PPS             level and/or slice level.     -   15. Same QP derivation method is used in the scaling process         (quantization/dequantization) for JCCR coded blocks with         different modes.         -   a. In one example, for JCCR with mode 1 and 3, the QP is             dependent on the QP offset signaled in the picture/slice             level (e.g., pps_cbcr_qp_offset, slice_cbcr_qp_offset).

Filtering Procedures

-   -   16. Deblocking for all color components excepts for the first         color component may follow the deblocking process for the first         color component.         -   a. In one example, when the color format is 4:4:4,             deblocking process for the second and third components may             follow the deblocking process for the first component.         -   b. In one example, when the color format is 4:4:4 in RGB             color space, deblocking process for the second and third             components may follow the deblocking process for the first             component.         -   c. In one example, when the color format is 4:2:2, vertical             deblocking process for the second and third components may             follow the vertical deblocking process for the first             component.         -   d. In above examples, the deblocking process may refer to             deblocking decision process and/or deblocking filtering             process.     -   17. How to calculate gradient used in the deblocking filter         process may depend on the coded mode information and/or         quantization parameters.         -   a. In one example, the gradient computation may only             consider the gradient of a side wherein the samples at that             side are not lossless coded.         -   b. In one example, if both sides are lossless coded or             nearly lossless coded (e.g., quantization parameters equal             to 4), gradient may be directly set to 0.             -   i. Alternatively, if both sides are lossless coded or                 nearly lossless coded (e.g., quantization parameters                 equal to 4), Boundary Strength (e.g., BS) may be set to                 0.         -   c. In one example, if the samples at P side are lossless             coded and the samples at Q side are lossy coded, the             gradients used in deblocking on/off decision and/or strong             filters on/off decision may only include gradients of the             samples at Q side, vice versa.             -   i. Alternatively, furthermore, the gradient of one side                 may be scaled by N.                 -   1. N is an integer number (e.g. 2) and may depend on                 -    a. Video contents (e.g. screen contents or natural                     contents)                 -    b. A message signaled in the                     DPS/SPS/VPS/PPS/APS/picture header/slice header/tile                     group header/Largest coding unit (LCU)/Coding unit                     (CU)/LCU row/group of LCUs/TU/PU block/Video coding                     unit                 -    c. Position of CU/PU/TU/block/Video coding unit                 -    d. Coded modes of blocks containing the samples                     along the edges                 -    e. Transform matrices applied to the blocks                     containing the samples along the edges                 -    f. Block dimension/Block shape of current block                     and/or its neighboring blocks                 -    g. Indication of the color format (such as 4:2:0,                     4:4:4, RGB or YUV)                 -    h. Coding tree structure (such as dual tree or                     single tree)                 -    i. Slice/tile group type and/or picture type                 -    j. Color component (e.g. may be only applied on Cb                     or Cr)                 -    k. Temporal layer ID                 -    l. Profiles/Levels/Tiers of a standard                 -    m. Alternatively, N may be signalled to the decoder

Regarding Boundary Strength Derivation

-   -   18. It is proposed to treat JCCR coded blocks as those non-JCCR         coded blocks in the boundary strength decision process.         -   a. In one example, the determination of boundary strength             (BS) may be independent from the checking of usage of JCCR             for two blocks at P and Q sides.         -   b. In one example, the boundary strength (BS) for a block             may be determined regardless if the block is coded with JCCR             or not.     -   19. It is proposed to derive the boundary strength (BS) without         comparing the reference pictures and/or number of MVs associated         with the block at P side with the reference pictures of the         block at Q side.         -   a. In one example, deblocking filter may be disabled even             when two blocks are with different reference pictures.         -   b. In one example, deblocking filter may be disabled even             when two blocks are with different number of MVs (e.g., one             is uni-predicted and the other is bi-predicted).         -   c. In one example, the value of BS may be set to 1 when             motion vector differences for one or all reference picture             lists between the blocks at P side and Q side is larger than             or equal to a threshold Th.             -   i. Alternatively, furthermore, the value of BS may be                 set to 0 when motion vector differences for one or all                 reference picture lists between the blocks at P side and                 Q side is smaller than or equal to a threshold Th.         -   d. In one example, the difference of the motion vectors of             two blocks being larger than a threshold Th may be defined             as             (Abs(MVP[0].x−MVQ[0].x)>Th∥Abs(MVP[0].y−MVQ[0].y)>Abs(MVP[1].x−MVQ[1].x)>Th)∥Abs(MVP[1].y−MVQ[1].y)             >Th)             -   ii. Alternatively, the difference of the motion vectors                 of two blocks being larger than a threshold Th may be                 defined as (Abs(MVP[0].x −MVQ[0].x)>Th&&                 Abs(MVP[0].y−MVQ[0].y)>Th && Abs(MVP[1].x                 −MVQ[1].x)>Th)&& Abs(MVP[1].y−MVQ[1].y)>Th)             -   iii. Alternatively, in one example, the difference of                 the motion vectors of two blocks being larger than a                 threshold Th may be defined as                 (Abs(MVP[0].x−MVQ[0].x)>∥Abs(MVP[0].y−MVQ[0].y)>Th)&&(Abs(MVP[1].x−MVQ[1].x)>Th)∥Abs(MVP[1].y−MVQ[1].y)>Th)             -   iv. Alternatively, in one example, the difference of the                 motion vectors of two blocks being larger than a                 threshold Th may be defined as                 (Abs(MVP[0].x−MVQ[0].x)>Th&&Abs(MVP[0].y−MVQ[0].y)>Th)∥(Abs(MVP[1].x−MVQ[1].x)>Th)&&Abs(MVP[1].y−MVQ[1].y)>Th)         -   e. In one example, a block which does not have a motion             vector in a given list may be treated as having a             zero-motion vector in that list.         -   f. In the above examples, Th is an integer number (e.g. 4, 8             or 16).         -   g. In the above examples, Th may depend on             -   v. Video contents (e.g. screen contents or natural                 contents)             -   vi. A message signaled in the                 DPS/SPS/VPS/PPS/APS/picture header/slice header/tile                 group header/Largest coding unit (LCU)/Coding unit                 (CU)/LCU row/group of LCUs/TU/PU block/Video coding unit             -   vii. Position of CU/PU/TU/block/Video coding unit             -   viii. Coded modes of blocks containing the samples along                 the edges             -   ix. Transform matrices applied to the blocks containing                 the samples along the edges             -   x. Block dimension/Block shape of current block and/or                 its neighboring blocks             -   xi. Indication of the color format (such as 4:2:0,                 4:4:4, RGB or YUV)             -   xii. Coding tree structure (such as dual tree or single                 tree)             -   xiii. Slice/tile group type and/or picture type             -   xiv. Color component (e.g. may be only applied on Cb or                 Cr)             -   xv. Temporal layer ID             -   xvi. Profiles/Levels/Tiers of a standard             -   xvii. Alternatively, Th may be signalled to the decoder.         -   h. The above examples may be applied under certain             conditions.             -   xviii. In one example, the condition is the blkP and                 blkQ are not coded with intra modes.             -   xix. In one example, the condition is the blkP and blkQ                 have zero coefficients on luma component.             -   xx. In one example, the condition is the blkP and blkQ                 are not coded with the CIIP mode.             -   xxi. In one example, the condition is the blkP and blkQ                 are coded with a same prediction mode (e.g. IBC or                 Inter).

Regarding Luma Deblocking Filtering Process

-   -   20. The deblocking may use different QPs for TS coded blocks and         non-TS coded blocks.         -   a. In one example, the QP for TS may be used on TS coded             blocks while the QP for non-TS may be used on non-TS coded             blocks.     -   21. The luma filtering process (e.g., the luma edge decision         process) may depend on the quantization parameter applied to the         scaling process of the luma block.         -   a. In one example, the QP used to derive beta and Tc may             depend on the clipping range of transform skip, e.g. as             indicated by QpPrimeTsMin.     -   22. It is proposed to use an identical gradient computation for         large block boundaries and smaller block boundaries.         -   a. In one example, the deblocking filter on/off decision             described in section 2.1.4 may be also applied for large             block boundary.             -   i. In one example, the threshold beta in the decision                 may be modified for large block boundary.                 -   1. In one example, beta may depend on quantization                     parameter.                 -   2. In one example, beta used for deblocking filter                     on/off decision for large block boundaries may be                     smaller than that for smaller block boundaries.                 -    a. Alternatively, in one example, beta used for                     deblocking filter on/off decision for large block                     boundaries may be larger than that for smaller block                     boundaries.                 -    b. Alternatively, in one example, beta used for                     deblocking filter on/off decision for large block                     boundaries may be equal to that for smaller block                     boundaries.                 -   3. In one example, beta is an integer number and may                     be based on                 -    a. Video contents (e.g. screen contents or natural                     contents)                 -    b. A message signaled in the                     DPS/SPS/VPS/PPS/APS/picture header/slice header/tile                     group header/Largest coding unit (LCU)/Coding unit                     (CU)/LCU row/group of LCUs/TU/PU block/Video coding                     unit                 -    c. Position of CU/PU/TU/block/Video coding unit                 -    d. Coded modes of blocks containing the samples                     along the edges                 -    e. Transform matrices applied to the blocks                     containing the samples along the edges                 -    f. Block dimension of current block and/or its                     neighboring blocks                 -    g. Block shape of current block and/or its                     neighboring blocks                 -    h. Indication of the color format (such as 4:2:0,                     4:4:4, RGB or YUV)                 -    i. Coding tree structure (such as dual tree or                     single tree)                 -    j. Slice/tile group type and/or picture type                 -    k. Color component (e.g. may be only applied on Cb                     or Cr)                 -    l. Temporal layer ID                 -    m. Profiles/Levels/Tiers of a standard                 -    n. Alternatively, beta may be signalled to the                     decoder.

Regarding Scaling Matrix (Dequantization Matrix)

-   -   23. The values for specific positions of quantization matrices         may be set to constant.         -   a. In one example, the position may be the position of (x,y)             wherein x and y are two integer variables (e.g., x=y=0), and             (x,y) is the coordinate relative to a TU/TB/PU/PB/CU/CB.             -   i. In one example, the position may be the position of                 DC.         -   b. In one example, the constant value may be 16.         -   c. In one example, for those positions, signaling of the             matrix values may not be utilized.     -   24. A constrain may be set that the average/weighted average of         some positions of quantization matrices may be a constant.         -   a. In one example, deblocking process may depend on the             constant value.         -   b. In one example, the constant value may be indicated in             DPS/VPS/SPS/PPS/Slice/Picture/Tile/Brick headers.     -   25. One or multiple indications may be signaled in the picture         header to inform the scaling matrix to be selected in the         picture associated with the picture header.

Regarding Cross Component Adaptive Loop Filter (CCALF)

-   -   26. CCALF may be applied before some loop filtering process at         the decoder         -   a. In one example, CCALF may be applied before deblocking             process at the decoder.         -   b. In one example, CCALF may be applied before SAO at the             decoder.         -   c. In one example, CCALF may be applied before ALF at the             decoder.         -   d. Alternatively, the order of different filters (e.g.,             CCALF, ALF, SAO, deblocking filter) may be NOT fixed.             -   i. In one example, the invoke of CCLAF may be before one                 filtering process for one video unit or after another                 one for another video unit.             -   ii. In one example, the video unit may be a                 CTU/CTB/slice/tile/brick/picture/sequence.         -   e. Alternatively, indications of the order of different             filters (e.g., CCALF, ALF, SAO, deblocking filter) may be             signaled or derived on-the-fly.             -   i. Alternatively, indication of the invoking of CCALF                 may be signaled or derived on-the-fly.         -   f. The explicit (e.g. signaling from the encoder to the             decoder) or implicit (e.g. derived at both encoder and             decoder) indications of how to control CCALF may be             decoupled for different color components (such as Cb and             Cr).         -   g. Whether and/or how to apply CCALF may depend on color             formats (such as RGB and YCbCr) and/or color sampling format             (such as 4:2:0, 4:2:2 and 4:4:4), and/or color down-sampling             positions or phases)

Regarding Chroma QP Offset Lists

-   -   27. Signaling and/or selection of chroma QP offset lists may be         dependent on the coded prediction modes/picture types/slice or         tile or brick types.         -   h. Chroma QP offset lists, e.g. cb_qp_offset_list[i],             cr_qp_offset_list[i], and joint_cbcr_qp_offset_list[i], may             be different for different coding modes.         -   i. In one example, whether and how to apply chroma QP offset             lists may depend on whether the current block is coded in             intra mode.         -   j. In one example, whether and how to apply chroma QP offset             lists may depend on whether the current block is coded in             inter mode.         -   k. In one example, whether and how to apply chroma QP offset             lists may depend on whether the current block is coded in             palette mode.         -   l. In one example, whether and how to apply chroma QP offset             lists may depend on whether the current block is coded in             IBC mode.         -   m. In one example, whether and how to apply chroma QP offset             lists may depend on whether the current block is coded in             transform skip mode.         -   n. In one example, whether and how to apply chroma QP offset             lists may depend on whether the current block is coded in             BDPCM mode.         -   o. In one example, whether and how to apply chroma QP offset             lists may depend on whether the current block is coded in             transform quant skip or lossless mode.

Regarding Chroma Deblocking at CTU Boundary

-   -   28. How to select the QPs (e.g., using corresponding luma or         chroma dequantized QP) utilized in the deblocking filter process         may be dependent on the position of samples relative to the         CTU/CTB/VPDU boundaries.     -   29. How to select the QPs (e.g., using corresponding luma or         chroma dequantized QP) utilized in the deblocking filter process         may depend on color formats (such as RGB and YCbCr) and/or color         sampling format (such as 4:2:0, 4:2:2 and 4:4:4), and/or color         down-sampling positions or phases).     -   30. For edges at CTU boundary, the deblocking may be based on         luma QP of the corresponding blocks.         -   p. In one example, for horizontal edges at CTU boundary, the             deblocking may be based on luma QP of the corresponding             blocks.             -   i. In one example, the deblocking may be based on luma                 QP of the corresponding blocks at P-side.             -   ii. In one example, the deblocking may be based on luma                 QP of the corresponding blocks at Q-side.         -   q. In one example, for vertical edges at CTU boundary, the             deblocking may be based on luma QP of the corresponding             blocks.             -   i. In one example, the deblocking may be based on luma                 QP of the corresponding blocks at P-side.             -   ii. In one example, the deblocking may be based on luma                 QP of the corresponding blocks at Q-side.         -   r. In one example, for edges at CTU boundary, the deblocking             may be based on luma QP at P-side and chroma QP at Q-side.         -   s. In one example, for edges at CTU boundary, the deblocking             may be based on luma QP at Q-side and chroma QP at P-side.         -   t. In this bullet, “CTU boundary” may refer to a specific             CTU boundary such as the upper CTU boundary or the lower CTU             boundary.     -   31. For horizontal edges at CTU boundary, the deblocking may be         based on a function of chroma QPs at P-side.         -   u. In one example, the deblocking may be based on an             averaging function of chroma QPs at P-side.             -   i. In one example, the function may be based on the                 average of the chroma QPs for each 8 luma samples.             -   ii. In one example, the function may be based on the                 average of the chroma QPs for each 16 luma samples.             -   iii. In one example, the function may be based on the                 average of the chroma QPs for each 32 luma samples.             -   iv. In one example, the function may be based on the                 average of the chroma QPs for each 64 luma samples.             -   v. In one example, the function may be based on the                 average of the chroma QPs for each CTU.         -   v. In one example, the deblocking may be based on a maximum             function of chroma QPs at P-side.             -   i. In one example, the function may be based on the                 maximum of the chroma QPs for each 8 luma samples.             -   ii. In one example, the function may be based on the                 maximum of the chroma QPs for each 16 luma samples.             -   iii. In one example, the function may be based on the                 maximum of the chroma QPs for each 32 luma samples.             -   iv. In one example, the function may be based on the                 maximum of the chroma QPs for each 64 luma samples.             -   v. In one example, the function may be based on the                 maximum of the chroma QPs for each CTU.         -   w. In one example, the deblocking may be based on a minimum             function of chroma QPs at P-side.             -   i. In one example, the function may be based on the                 minimum of the chroma QPs for each 8 luma samples.             -   ii. In one example, the function may be based on the                 minimum of the chroma QPs for each 16 luma samples.             -   iii. In one example, the function may be based on the                 minimum of the chroma QPs for each 32 luma samples.             -   iv. In one example, the function may be based on the                 minimum of the chroma QPs for each 64 luma samples.             -   v. In one example, the function may be based on the                 minimum of the chroma QPs for each CTU.         -   x. In one example, the deblocking may be based on a sub             sampling function of chroma QPs at P-side.             -   i. In one example, the function may be based on the                 chroma QPs of the k-th chroma sample for each 8 luma                 samples.                 -   1. In one example, the k-th sample may be the first                     sample.                 -   2. In one example, the k-th sample may be the last                     sample.                 -   3. In one example, the k-th sample may be the third                     sample.                 -   4. In one example, the k-th sample may be the fourth                     sample.             -   ii. In one example, the function may be based on the                 chroma QPs of the k-th chroma sample for each 16 luma                 samples.                 -   1. In one example, the k-th sample may be the first                     sample.                 -   2. In one example, the k-th sample may be the last                     sample.                 -   3. In one example, the k-th sample may be the 7-th                     sample.                 -   4. In one example, the k-th sample may be the 8-th                     sample.             -   iii. In one example, the function may be based on the                 chroma QPs of the k-th chroma sample for each 32 luma                 samples.                 -   1. In one example, the k-th sample may be the first                     sample.                 -   2. In one example, the k-th sample may be the last                     sample.                 -   3. In one example, the k-th sample may be the 15-th                     sample.                 -   4. In one example, the k-th sample may be the 16-th                     sample.             -   iv. In one example, the function may be based on the                 chroma QPs of the k-th chroma sample for each 64 luma                 samples.                 -   1. In one example, the k-th sample may be the first                     sample.                 -   2. In one example, the k-th sample may be the last                     sample.                 -   3. In one example, the k-th sample may be the 31-th                     sample.                 -   4. In one example, the k-th sample may be the 32-th                     sample.             -   v. In one example, the function may be based on the                 chroma QPs of the k-th chroma sample for each CTU.         -   y. Alternatively, the above items may be applied to chroma             QPs at Q-side for deblocking process.     -   32. It may be constrained that QP for chroma component may be         the same for a chroma row segment with length 4*m starting from         (4*m*x,2y) relative to top-left of the picture, where x and y         are non-negative integers; and m is a positive integer.         -   z. In one example, m may be equal to 1.         -   aa. In one example, the width of a quantization group for             chroma component must be no smaller than 4*m.     -   33. It may be constrained that QP for chroma component may be         the same for a chroma column segment with length 4*n starting         from (2*x,4*n*y) relative to top-left of the picture, where x         and y are non-negative integers; and n is a positive integer.         -   bb. In one example, n may be equal to 1.         -   cc. In one example, the height of a quantization group for             chroma component must be no smaller than 4*n.

Regarding Chroma Deblocking Filtering Process

-   -   34. A first syntax element controlling the usage of coding tool         X may be signalled in a first video unit (such as picture         header), depending on a second syntax element signalled in a         second video unit (such as SPS or PPS, or VPS).         -   a. In one example, the first syntax element is signalled             only if the second syntax element indicates that the coding             tool X is enabled.         -   b. In one example, X is Bi-Direction Optical Flow (BDOF).         -   c. In one example, X is Prediction Refinement Optical Flow             (PROF).         -   d. In one example, X is Decoder-side Motion Vector             Refinement (DMVR).         -   e. In one example, the signalling of the usage of a coding             tool X may be under the condition check of slice types             (e.g., P or B slices; non-I slices).

Regarding Chroma Deblocking Filtering Process

-   -   35. Deblocking filter decision processes for two chroma blocks         may be unified to be only invoked once and the decision is         applied to two chroma blocks.         -   b. In one example, the decision for whether to perform             deblocking filter may be same for Cb and Cr components.         -   c. In one example, if the deblocking filter is determined to             be applied, the decision for whether to perform stronger             deblocking filter may be same for Cb and Cr components.         -   d. In one example, the deblocking condition and strong             filter on/off condition, as described in section 2.2.7, may             be only checked once. However, it may be modified to check             the information of both chroma components.             -   i. In one example, the average of gradients of Cb and Cr                 components may be used in the above decisions for both                 Cb and Cr components.             -   ii. In one example, the chroma stronger filters may be                 performed only when the strong filter condition is                 satisfied for both Cb and Cr components.                 -   1. Alternatively, in one example, the chroma weak                     filters may be performed only when the strong filter                     condition is not satisfied at least one chroma                     component

General

-   -   36. The above proposed methods may be applied under certain         conditions.         -   a. In one example, the condition is the colour format is             4:2:0 and/or 4:2:2.             -   i. Alternatively, furthermore, for 4:4:4 colour format,                 how to apply deblocking filter to the two colour chroma                 components may follow the current design.         -   b. In one example, indication of usage of the above methods             may be signalled in sequence/picture/slice/tile/brick/a             video region-level, such as SPS/PPS/picture header/slice             header.         -   c. In one example, the usage of above methods may depend on             -   ii. Video contents (e.g. screen contents or natural                 contents)             -   iii. A message signaled in the                 DPS/SPS/VPS/PPS/APS/picture header/slice header/tile                 group header/Largest coding unit (LCU)/Coding unit                 (CU)/LCU row/group of LCUs/TU/PU block/Video coding unit             -   iv. Position of CU/PU/TU/block/Video coding unit                 -   a. In one example, for filtering samples along the                     CTU/CTB boundaries (e.g., the first K (e.g., K=4/8)                     to the top/left/right/bottom boundaries), the                     existing design may be applied. While for other                     samples, the proposed method (e.g., bullets 3/4) may                     be applied instead.             -   v. Coded modes of blocks containing the samples along                 the edges             -   vi. Transform matrices applied to the blocks containing                 the samples along the edges             -   vii. Block dimension of current block and/or its                 neighboring blocks             -   viii. Block shape of current block and/or its                 neighboring blocks             -   ix. Indication of the color format (such as 4:2:0,                 4:4:4, RGB or YUV)             -   x. Coding tree structure (such as dual tree or single                 tree)             -   xi. Slice/tile group type and/or picture type             -   xii. Color component (e.g. may be only applied on Cb or                 Cr)             -   xiii. Temporal layer ID             -   xiv. Profiles/Levels/Tiers of a standard             -   xv. Alternatively, m and/or n may be signalled to the                 decoder.

5. Additional Embodiments

The newly added texts are shown in underlined bold italicized font. The deleted texts are marked by [[]].

5.1. Embodiment #1 on Chroma QP in Deblocking 8.8.3.6 Edge Filtering Process for One Direction

. . .

-   -   Otherwise (cIdx is not equal to 0), the filtering process for         edges in the chroma coding block of current coding unit         specified by cIdx consists of the following ordered steps:         -   1. The variable cQpPicOffset is derived as follows:

$\begin{matrix} {{cQpPicOffset} = {{cIdx}=={{1?{pps\_ cb}}{\_ qp}{\_ offse}\text{t:}{pps\_ cr}{\_ qp}{\_ offset}}}} & \text{(8-1065)} \end{matrix}$

8.8.3.6.3 Decision Process for Chroma Block Edges

. . . The variables Qp_(Q) and Qp_(P) are set equal to the Qp_(Y) values of the coding units which include the coding blocks containing the sample q_(0,0) and p_(0,0), respectively. The variable Qp_(C) is derived as follows:

$\begin{matrix} \left\lbrack \left\lbrack {{qPi} = {{Clip}\; 3\left( {0,63,{\left( {\left( {{Qp_{Q}} + {Q\; p_{P}} + 1} \right) ⪢ 1} \right) + {cQpPicOffset}}} \right)}} \right. \right. & \text{(8-1132)} \\ {{Qp}_{C} = {{{{ChromaQpTable}\left\lbrack {{cIdx} - 1} \right\rbrack}\lbrack{qPi}\rbrack}\text{]]}}} & \left( \text{8-1133} \right) \\ {{qPi} = {\left( {{Qp_{Q}} + {Qp}_{P} + 1} \right) ⪢ 1}} & \text{(8-1132)} \\ {{Qp}_{C} = {{{{ChromaQpTable}\left\lbrack {{cIdx} - 1} \right\rbrack}\lbrack{qPi}\rbrack} + {cQpPicOffset}}} & \text{(8-1133)} \end{matrix}$

-   -   NOTE—The variable cQpPicOffset provides an adjustment for the         value of pps_cb_qp_offset or pps_cr_qp_offset, according to         whether the filtered chroma component is the Cb or Cr component.         However, to avoid the need to vary the amount of the adjustment         within the picture, the filtering process does not include an         adjustment for the value of slice_cb_qp_offset or         slice_cr_qp_offset nor (when cu_chroma_qp_offset_enabled_flag is         equal to 1) for the value of CuQpOffset_(Cb), CuQpOffset_(Cr),         or CuQpOffset_(CbCr).         The value of the variable β′ is determined as specified in Table         8-18 based on the quantization parameter Q derived as follows:

$\begin{matrix} {Q = {{Clip}\; 3\left( {0,63,{{Qp}_{C} + \left( {{{slice\_ beta}{\_ offset}{\_ div2}} ⪡ 1} \right)}} \right)}} & \text{(8-1134)} \end{matrix}$

where slice_beta_offset_div2 is the value of the syntax element slice_beta_offset_div2 for the slice that contains sample q_(0,0). The variable β is derived as follows:

$\begin{matrix} {\beta = {\beta^{\prime*}\left( {1 ⪡ \left( {{BitDepth}_{C} - 8} \right)} \right)}} & \text{(8-1135)} \end{matrix}$

The value of the variable t_(C)′ is determined as specified in Table 8-18 based on the chroma quantization parameter Q derived as follows:

$\begin{matrix} {Q = {{Clip}\; 3\left( {0,65,{{Qp}_{C} + {2^{*}\left( {{bS} - 1} \right)} + \left( {{{slice\_ tc}{\_ offset}{\_ div2}} ⪡ 1} \right)}} \right)}} & \text{(8-1136)} \end{matrix}$

where slice_tc_offset_div2 is the value of the syntax element slice_tc_offset_div2 for the slice that contains sample q_(0,0). The variable t_(C) is derived as follows:

$\begin{matrix} {t_{C} = {{{\left( {{BitDepth}_{C} < {10}} \right)?}\left( {{t_{C}}^{\prime}2} \right)} ⪢ \left( {10 - {{BitDepth}_{C}{{\text{):}\text{t}}_{C}}^{\prime*}\left( {1 ⪡ \left( {{BitDepth}_{C} - 8} \right)} \right)}} \right.}} & \text{(8-1137)} \end{matrix}$

5.2. Embodiment #2 on Boundary Strength Derivation 8.8.3.5 Derivation Process of Boundary Filtering Strength

Inputs to this process are:

-   a picture sample array recPicture, -   a location (xCb,yCb) specifying the top-left sample of the current     coding block relative to the top-left sample of the current picture, -   a variable nCbW specifying the width of the current coding block, -   a variable nCbH specifying the height of the current coding block, -   a variable edgeType specifying whether a vertical (EDGE_VER) or a     horizontal (EDGE_HOR) edge is filtered, -   a variable cIdx specifying the colour component of the current     coding block, -   a two-dimensional (nCbW)×(nCbH) array edgeFlags.     Output of this process is a two-dimensional (nCbW)×(nCbH) array bS     specifying the boundary filtering strength.     . . .     For xD_(i) with i=0 . . . xN and yD_(j) with j=0 . . . yN, the     following applies:     -   If edgeFlags[xD_(i)][yD_(j)] is equal to 0, the variable         bS[xD_(i)][yD_(j)] is set equal to 0.     -   Otherwise, the following applies:         . . .         -   The variable bS[xD_(i)][yD_(j)] is derived as follows:             -   If cIdx is equal to 0 and both samples p₀ and q₀ are in                 a coding block with intra_bdpcm_flag equal to 1,                 bS[xD_(i)][yD_(j)] is set equal to 0.             -   Otherwise, if the sample p₀ or q₀ is in the coding block                 of a coding unit coded with intra prediction mode,                 bS[xD_(i)][yD_(j)] is set equal to 2.             -   Otherwise, if the block edge is also a transform block                 edge and the sample p₀ or q₀ is in a coding block with                 ciip_flag equal to 1, bS[xD_(i)][yD_(j)] is set equal to                 2.             -   Otherwise, if the block edge is also a transform block                 edge and the sample p₀ or q₀ is in a transform block                 which contains one or more non-zero transform                 coefficient levels, bS[xD_(i)][yD_(j)] is set equal to                 1.             -   Otherwise, if the block edge is also a transform block                 edge, cIdx is greater than 0, and the sample p₀ or q₀ is                 in a transform unit with tu_joint_cbcr_residual_flag                 equal to 1, bS[xD_(i)][yD_(j)] is set equal to 1.             -   Otherwise, if the prediction mode of the coding subblock                 containing the sample p₀ is different from the                 prediction mode of the coding subblock containing the                 sample q₀ (i.e. one of the coding subblock is coded in                 IBC prediction mode and the other is coded in inter                 prediction mode), bS[xD_(i)][yD_(j)] is set equal to 1             -   Otherwise, if cIdx is equal to 0 and one or more of the                 following conditions are true, bS[xD_(i)][yD_(j)] is set                 equal to 1:                 -   

                -   [[The coding subblock containing the sample p₀ and                     the coding subblock containing the sample q₀ are                     both coded in IBC prediction mode, and the absolute                     difference between the horizontal or vertical                     component of the block vectors used in the                     prediction of the two coding subblocks is greater                     than or equal to 8 in units of 1/16 luma samples.

                -   For the prediction of the coding subblock containing                     the sample p₀ different reference pictures or a                     different number of motion vectors are used than for                     the prediction of the coding subblock containing the                     sample q₀.

                -    NOTE 1— The determination of whether the reference                     pictures used for the two coding sublocks are the                     same or different is based only on which pictures                     are referenced, without regard to whether a                     prediction is formed using an index into reference                     picture list 0 or an index into reference picture                     list 1, and also without regard to whether the index                     position within a reference picture list is                     different.

                -    NOTE 2— The number of motion vectors that are used                     for the prediction of a coding subblock with                     top-left sample covering (xSb,ySb), is equal to                     PredFlagL0[xSb][ySb]+PredFlagL1[xSb][ySb].

                -   One motion vector is used to predict the coding                     subblock containing the sample p₀ and one motion                     vector is used to predict the coding subblock                     containing the sample q₀, and the absolute                     difference between the horizontal or vertical                     component of the motion vectors used is greater than                     or equal to 8 in units of 1/16 luma samples.

                -   Two motion vectors and two different reference                     pictures are used to predict the coding subblock                     containing the sample p₀, two motion vectors for the                     same two reference pictures are used to predict the                     coding subblock containing the sample q₀ and the                     absolute difference between the horizontal or                     vertical component of the two motion vectors used in                     the prediction of the two coding subblocks for the                     same reference picture is greater than or equal to 8                     in units of 1/16 luma samples.

                -   Two motion vectors for the same reference picture                     are used to predict the coding subblock containing                     the sample p₀, two motion vectors for the same                     reference picture are used to predict the coding                     subblock containing the sample q₀ and both of the                     following conditions are true:

                -    The absolute difference between the horizontal or                     vertical component of list 0 motion vectors used in                     the prediction of the two coding subblocks is                     greater than or equal to 8 in 1/16 luma samples, or                     the absolute difference between the horizontal or                     vertical component of the list 1 motion vectors used                     in the prediction of the two coding subblocks is                     greater than or equal to 8 in units of 1/16 luma                     samples.

                -    The absolute difference between the horizontal or                     vertical component of list 0 motion vector used in                     the prediction of the coding subblock containing the                     sample p₀ and the list 1 motion vector used in the                     prediction of the coding subblock containing the                     sample q₀ is greater than or equal to 8 in units of                     1/16 luma samples, or the absolute difference                     between the horizontal or vertical component of the                     list 1 motion vector used in the prediction of the                     coding subblock containing the sample p₀ and list 0                     motion vector used in the prediction of the coding                     subblock containing the sample q₀ is greater than or                     equal to 8 in units of 1/16 luma samples.]]         -   Otherwise, the variable bS[xD_(i)][yD_(j)] is set equal to             0.

5.3. Embodiment #3 on Boundary Strength Derivation 8.8.3.5 Derivation Process of Boundary Filtering Strength

Inputs to this process are:

-   a picture sample array recPicture, -   a location (xCb,yCb) specifying the top-left sample of the current     coding block relative to the top-left sample of the current picture, -   a variable nCbW specifying the width of the current coding block, -   a variable nCbH specifying the height of the current coding block, -   a variable edgeType specifying whether a vertical (EDGE_VER) or a     horizontal (EDGE_HOR) edge is filtered, -   a variable cIdx specifying the colour component of the current     coding block, -   a two-dimensional (nCbW)×(nCbH) array edgeFlags.     Output of this process is a two-dimensional (nCbW)×(nCbH) array bS     specifying the boundary filtering strength.     . . .     For xD_(i) with i=0 . . . xN and yD_(j) with j=0 . . . yN, the     following applies: -   If edgeFlags[xD_(i)][yD_(j)] is equal to 0, the variable     bS[xD_(i)][yD_(j)] is set equal to 0. -   Otherwise, the following applies:     . . .     -   The variable bS[xD_(i)][yD_(j)] is derived as follows:         -   If cIdx is equal to 0 and both samples p₀ and q₀ are in a             coding block with intra_bdpcm_flag equal to 1,             bS[xD_(i)][yD_(j)] is set equal to 0.         -   Otherwise, if the sample p₀ or q₀ is in the coding block of             a coding unit coded with intra prediction mode,             bS[xD_(i)][yD_(j)] is set equal to 2.         -   Otherwise, if the block edge is also a transform block edge             and the sample p₀ or q₀ is in a coding block with ciip_flag             equal to 1, bS[xD_(i)][yD_(j)] is set equal to 2.         -   Otherwise, if the block edge is also a transform block edge             and the sample p₀ or q₀ is in a transform block which             contains one or more non-zero transform coefficient levels,             bS[xD_(i)][y ID_(j)] is set equal to 1.         -   [[Otherwise, if the block edge is also a transform block             edge, cIdx is greater than 0, and the sample p₀ or q₀ is in             a transform unit with tu_joint_cbcr_residual_flag equal to             1, bS[xD_(i)][yD_(j)] is set equal to 1.]]         -   Otherwise, if the prediction mode of the coding subblock             containing the sample p₀ is different from the prediction             mode of the coding subblock containing the sample q₀ (i.e.             one of the coding subblock is coded in IBC prediction mode             and the other is coded in inter prediction mode),             bS[xD_(i)][yD_(j)] is set equal to 1         -   Otherwise, if cIdx is equal to 0 and one or more of the             following conditions are true, bS[xD_(i)][yD_(j)] is set             equal to 1:             -   The coding subblock containing the sample p₀ and the                 coding subblock containing the sample q₀ are both coded                 in IBC prediction mode, and the absolute difference                 between the horizontal or vertical component of the                 block vectors used in the prediction of the two coding                 subblocks is greater than or equal to 8 in units of 1/16                 luma samples.             -   For the prediction of the coding subblock containing the                 sample p₀ different reference pictures or a different                 number of motion vectors are used than for the                 prediction of the coding subblock containing the sample                 q₀.                 -   NOTE 1— The determination of whether the reference                     pictures used for the two coding sublocks are the                     same or different is based only on which pictures                     are referenced, without regard to whether a                     prediction is formed using an index into reference                     picture list 0 or an index into reference picture                     list 1, and also without regard to whether the index                     position within a reference picture list is                     different.                 -   NOTE 2— The number of motion vectors that are used                     for the prediction of a coding subblock with                     top-left sample covering (xSb,ySb), is equal to                     PredFlagL0[xSb][ySb]+PredFlagL1[xSb][ySb].             -   One motion vector is used to predict the coding subblock                 containing the sample p₀ and one motion vector is used                 to predict the coding subblock containing the sample q₀,                 and the absolute difference between the horizontal or                 vertical component of the motion vectors used is greater                 than or equal to 8 in units of 1/16 luma samples.             -   Two motion vectors and two different reference pictures                 are used to predict the coding subblock containing the                 sample p₀, two motion vectors for the same two reference                 pictures are used to predict the coding subblock                 containing the sample q₀ and the absolute difference                 between the horizontal or vertical component of the two                 motion vectors used in the prediction of the two coding                 subblocks for the same reference picture is greater than                 or equal to 8 in units of 1/16 luma samples.             -   Two motion vectors for the same reference picture are                 used to predict the coding subblock containing the                 sample p₀, two motion vectors for the same reference                 picture are used to predict the coding subblock                 containing the sample q₀ and both of the following                 conditions are true:                 -   The absolute difference between the horizontal or                     vertical component of list 0 motion vectors used in                     the prediction of the two coding subblocks is                     greater than or equal to 8 in 1/16 luma samples, or                     the absolute difference between the horizontal or                     vertical component of the list 1 motion vectors used                     in the prediction of the two coding subblocks is                     greater than or equal to 8 in units of 1/16 luma                     samples.                 -   The absolute difference between the horizontal or                     vertical component of list 0 motion vector used in                     the prediction of the coding subblock containing the                     sample p₀ and the list 1 motion vector used in the                     prediction of the coding subblock containing the                     sample q₀ is greater than or equal to 8 in units of                     1/16 luma samples, or the absolute difference                     between the horizontal or vertical component of the                     list 1 motion vector used in the prediction of the                     coding subblock containing the sample p₀ and list 0                     motion vector used in the prediction of the coding                     subblock containing the sample q₀ is greater than or                     equal to 8 in units of 1/16 luma samples.         -   Otherwise, the variable bS[xD_(i)][yD_(j)] is set equal to             0.

5.4. Embodiment #4 on Luma Deblocking Filtering Process 8.8.3.6.1 Decision Process for Luma Block Edges

Inputs to this process are:

-   -   a picture sample array recPicture,     -   a location (xCb,yCb) specifying the top-left sample of the         current coding block relative to the top-left sample of the         current picture,     -   a location (xBl,yBl) specifying the top-left sample of the         current block relative to the top-left sample of the current         coding block,     -   a variable edgeType specifying whether a vertical (EDGE_VER) or         a horizontal (EDGE_HOR) edge is filtered,     -   a variable bS specifying the boundary filtering strength,     -   a variable maxFilterLengthP specifying the max filter length,     -   a variable maxFilterLengthQ specifying the max filter length.         Outputs of this process are:     -   the variables dE, dEp and dEq containing decisions,     -   the modified filter length variables maxFilterLengthP and         maxFilterLengthQ,     -   the variable t_(C).         . . .         The following ordered steps apply:         . . .     -   1. When sidePisLargeBlk or sideQisLargeBlk is greater than 0,         the following applies:         -   a. The variables dp0L, dp3L are derived and maxFilterLengthP             is modified as follows:             -   [[If sidePisLargeBlk is equal to 1, the following                 applies:

$\begin{matrix} {{dp0L} = {\left( {{d\; p\; 0} + {{Abs}\left( {p_{5,0} - {2^{*}p_{4,0}} + p_{3,0}} \right)} + 1} \right) ⪢ 1}} & \text{(8-1087)} \\ {{d\; p\; 3L} = {\left( {{d\; p\; 3} + {{Abs}\left( {p_{5,3} - {2^{*}p_{4,3}} + p_{3,3}} \right)} + 1} \right) ⪢ 1}} & \text{(8-1088)} \end{matrix}$

-   -   -   -   Otherwise, the following applies:]]

$\begin{matrix} {{dp0L} = {d\; p\; 0}} & \text{(8-1089)} \\ {{d\; p\; 3L} = {d\; p\; 3}} & \text{(8-1090)} \\ \left\lbrack \left\lbrack {{\max{FilterLengthP}} = 3} \right\rbrack \right\rbrack & \text{(8-1091)} \end{matrix}$

-   -   -   b. The variables dq0L and dq3L are derived as follows:             -   [[If sideQisLargeBlk is equal to 1, the following                 applies:

$\begin{matrix} {{{dq0L} = \left( {{dq0} + {{Abs}\left( {q_{5,0} - {2*q_{4,0}} + q_{3,0}} \right)} + 1} \right)}\operatorname{>>}1} & \left( {8‐1092} \right) \end{matrix}$ $\begin{matrix} {{{{dq}3L} = \left( {{{dq}3} + {{Abs}\left( {q_{5,3} - {2*q_{4,3}} + q_{3,3}} \right)} + 1} \right)}\operatorname{>>}1} & \left( {8‐1093} \right) \end{matrix}$

-   -   -   -   Otherwise, the following applies:]]

$\begin{matrix} {{dq0L} = {{dq}0}} & \left( {8‐1094} \right) \end{matrix}$ $\begin{matrix} {{{dq}3L} = {dq3}} & \left( {8‐1095} \right) \end{matrix}$

. . .

-   -   2. The variables dE, dEp and dEq are derived as follows:         . . .

5.5. Embodiment #5 on Chroma Deblocking Filtering Process 8.8.3.6.3 Decision Process for Chroma Block Edges

This process is only invoked when ChromaArrayType is not equal to 0. Inputs to this process are:

-   -   a chroma picture sample array recPicture,     -   a chroma location (xCb,yCb) specifying the top-left sample of         the current chroma coding block relative to the top-left chroma         sample of the current picture,     -   a chroma location (xBl,yBl) specifying the top-left sample of         the current chroma block relative to the top-left sample of the         current chroma coding block,     -   a variable edgeType specifying whether a vertical (EDGE_VER) or         a horizontal (EDGE_HOR) edge is filtered,     -   a variable cIdx specifying the colour component index,     -   a variable cQpPicOffset specifying the picture-level chroma         quantization parameter offset,     -   a variable bS specifying the boundary filtering strength,     -   a variable maxFilterLengthCbCr.         Outputs of this process are     -   the modified variable maxFilterLengthCbCr,     -   the variable t_(C).         The variable maxK is derived as follows:     -   If edgeType is equal to EDGE_VER, the following applies:

$\begin{matrix} {{\max K} = {{\left( {{{SubHeight}C}==1} \right)?3}:1}} & \left( {8‐1124} \right) \end{matrix}$

-   -   Otherwise (edgeType is equal to EDGE_HOR), the following         applies:

$\begin{matrix} {{\max K} = {{\left( {{S{ubWidhtC}} = {= 1}} \right)?3}:1}} & \left( {8‐1125} \right) \end{matrix}$

The values p_(i) and q_(i) with i=0 . . . maxFilterLengthCbCr and k=0 . . . maxK are derived as follows:

-   -   If edgeType is equal to EDGE_VER, the following applies::

$\begin{matrix} {q_{i,k} = {{{recPicture}\left\lbrack {{xCb} + {{xB}l} + i} \right\rbrack}\left\lbrack {{yCb} + {{yB}l} + k} \right\rbrack}} & \left( {8‐1126} \right) \end{matrix}$ $\begin{matrix} {p_{i,k} = {{{recPicture}\left\lbrack {{xCb} + {xBl} - i - 1} \right\rbrack}\left\lbrack {{yCb} + {yBl} + k} \right\rbrack}} & \left( {8‐1127} \right) \end{matrix}$ $\begin{matrix} {{subSampleC} = {SubHeightC}} & \left( {8‐1128} \right) \end{matrix}$

-   -   Otherwise (edgeType is equal to EDGE_HOR), the following         applies:

$\begin{matrix} {q_{i,k} = {{{recPicture}\left\lbrack {{xCb} + {xBl} + k} \right\rbrack}\left\lbrack {{yCb} + {yBl} + i} \right\rbrack}} & \left( {8‐1129} \right) \end{matrix}$ $\begin{matrix} {p_{i,k} = {{{recPicture}\left\lbrack {{xCb} + {xBl} + k} \right\rbrack}\left\lbrack {{yCb} + {yBl} - i - 1} \right\rbrack}} & \left( {8‐1130} \right) \end{matrix}$ $\begin{matrix} {{subSampleC} = {SubHeightC}} & \left( {8‐1131} \right) \end{matrix}$

-   

-   

-   

The value of the variable β is determined as specified in Table t-18 based on the quantization parameter Q derived as follows:

$\begin{matrix} {Q = {{Clip}3\left( {0,{63},\ {{Qp_{C}} + \left( {{slice\_ beta}{\_ offset}{\_ div2}{\operatorname{<<}1}} \right)}} \right)}} & \left( {8‐1134} \right) \end{matrix}$

where slice_beta_offset_div2 is the value of the syntax element slice_beta_offset_div2 for the slice that contains sample q_(0,0). The variable β is derived as follows:

$\begin{matrix} {\beta = {\beta\text{'}*\left( {1{\operatorname{<<}\left( {{BitDepth}_{C} - 8} \right)}} \right)}} & \left( {8‐1135} \right) \end{matrix}$

The value of the variable t_(C)′ is determined as specified in Table 8-18 based on the chroma quantization parameter Q derived as follows:

$\begin{matrix} {Q = {{Clip}3\left( {0,{65},\ {{Qp_{C}} + {2*\left( {{bS} - 1} \right)} + \left( {{slice\_ tc}{\_ offset}{\_ div2}{\operatorname{<<}1}} \right)}} \right)}} & \left( {8‐1136} \right) \end{matrix}$

where slice_tc_offset_div2 is the value of the syntax element slice_tc_offset_div2 for the slice that contains sample q_(0,0). The variable t_(C) is derived as follows:

$\begin{matrix} {{t_{C} = {\left( {{B{itDepth}_{C}} < 10} \right)?\left( {t_{C}^{\prime} + 2} \right)}}\operatorname{>>}{\left( {10 - {BitDepth}_{C}} \right):t_{C}^{\prime}*1{\operatorname{<<}\left( {{BitDepth}_{C} - 8} \right)}}} & \left( {8‐1137} \right) \end{matrix}$

When maxFilterLengthCbCr is equal to 1 and bS is not equal to 2, maxFilterLengthCbCr is set equal to 0.

5.6. Embodiment #6 on Chroma QP in Deblocking 8.8.3.6.3 Decision Process for Chroma Block Edges

This process is only invoked when ChromaArrayType is not equal to 0. Inputs to this process are:

-   -   a chroma picture sample array recPicture,     -   a chroma location (xCb,yCb) specifying the top-left sample of         the current chroma coding block relative to the top-left chroma         sample of the current picture,     -   a chroma location (xBl,yBl) specifying the top-left sample of         the current chroma block relative to the top-left sample of the         current chroma coding block,     -   a variable edgeType specifying whether a vertical (EDGE_VER) or         a horizontal (EDGE_HOR) edge is filtered,     -   a variable cIdx specifying the colour component index,     -   a variable cQpPicOffset specifying the picture-level chroma         quantization parameter offset,     -   a variable bS specifying the boundary filtering strength,     -   a variable maxFilterLengthCbCr.         Outputs of this process are     -   the modified variable maxFilterLengthCbCr,     -   the variable t_(C).         The variable maxK is derived as follows:     -   If edgeType is equal to EDGE_VER, the following applies:

$\begin{matrix} {{\max K} = {{\left( {{{SubHeight}C}==1} \right)?3}:1}} & \left( {8‐1124} \right) \end{matrix}$

-   -   Otherwise (edgeType is equal to EDGE_HOR), the following         applies:

$\begin{matrix} {{\max K} = {{\left( {{S{ubWidhtC}} = {= 1}} \right)?3}:1}} & \left( {8‐1125} \right) \end{matrix}$

The values p₁ and q_(i) with i=0 . . . maxFilterLengthCbCr and k=0 . . . maxK are derived as follows:

-   -   If edgeType is equal to EDGE_VER, the following applies::

$\begin{matrix} {q_{i,k} = {{{recPicture}\left\lbrack {{xCb} + {{xB}l} + i} \right\rbrack}\left\lbrack {{yCb} + {{yB}l} + k} \right\rbrack}} & \left( {8‐1126} \right) \end{matrix}$ $\begin{matrix} {p_{i,k} = {{{recPicture}\left\lbrack {{xCb} + {xBl} - i - 1} \right\rbrack}\left\lbrack {{yCb} + {yBl} + k} \right\rbrack}} & \left( {8‐1127} \right) \end{matrix}$ $\begin{matrix} {{subSampleC} = {SubHeightC}} & \left( {8‐1128} \right) \end{matrix}$

-   -   Otherwise (edgeType is equal to EDGE_HOR), the following         applies:

$\begin{matrix} {q_{i,k} = {{{recPicture}\left\lbrack {{xCb} + {xBl} + k} \right\rbrack}\left\lbrack {{yCb} + {yBl} + i} \right\rbrack}} & \left( {8‐1129} \right) \end{matrix}$ $\begin{matrix} {p_{i,k} = {{{recPicture}\left\lbrack {{xCb} + {xBl} + k} \right\rbrack}\left\lbrack {{yCb} + {yBl} - i - 1} \right\rbrack}} & \left( {8‐1130} \right) \end{matrix}$ $\begin{matrix} {{subSampleC} = {SubHeightC}} & \left( {8‐1131} \right) \end{matrix}$

The variables Qp_(Q) and Qp_(P) are set equal to the Qp_(Y) values of the coding units which include the coding blocks containing the sample q_(0,0) and p_(0,0), respectively.

The variable Qp_(C) is derived as follows:

$\begin{matrix} \left\lbrack \left\lbrack {{qPi} = {{Clip}3\left( {0,{63},\ {\left( {\left( {{Qp_{Q}} + {Qp_{P}} + 1} \right)\operatorname{>>}1} \right) + {cQpPicOffset}}} \right)}} \right. \right. & \left. \left. \left( {8‐1132} \right) \right\rbrack \right\rbrack \end{matrix}$

$\begin{matrix} {{Qp_{C}} = {{{ChromaQpTable}\left\lbrack {{cIdx} - 1} \right\rbrack}\lbrack{qPi}\rbrack}} & \text{(8-1133)} \end{matrix}$

-   -   NOTE—The variable cQpPicOffset provides an adjustment for the         value of pps_cb_qp_offset or pps_cr_qp_offset, according to         whether the filtered chroma component is the Cb or Cr component.         However, to avoid the need to vary the amount of the adjustment         within the picture, the filtering process does not include an         adjustment for the value of slice_cb_qp_offset or         slice_cr_qp_offset nor (when cu_chroma_qp_offset_enabled_flag is         equal to 1) for the value of CuQpOffset_(Cb), CuQpOffset_(Cr),         or CuQpOffset_(CbCr).         . . .

5.7. Embodiment #7 on Chroma QP in Deblocking 8.8.3.6.3 Decision Process for Chroma Block Edges

This process is only invoked when ChromaArrayType is not equal to 0. Inputs to this process are:

-   -   a chroma picture sample array recPicture,     -   a chroma location (xCb,yCb) specifying the top-left sample of         the current chroma coding block relative to the top -left chroma         sample of the current picture,         . . .         Outputs of this process are     -   the modified variable maxFilterLengthCbCr,     -   the variable t_(C).         The variable maxK is derived as follows:     -   If edgeType is equal to EDGE_VER, the following applies:

$\begin{matrix} {{\max K} = {\left( {{SubHeightC}==1} \right)?\text{3:1}}} & \text{(8-1124)} \end{matrix}$

-   -   Otherwise (edgeType is equal to EDGE_HOR), the following         applies:

$\begin{matrix} {{\max K} = {\left( {{SubWidthC}==1} \right)?\text{3:1}}} & \text{(8-1125)} \end{matrix}$

The values p_(i) and q_(i) with i=0 . . . maxFilterLengthCbCr and k=0 . . . maxK are derived as follows:

-   -   If edgeType is equal to EDGE_VER, the following applies::

$\begin{matrix} {q_{i,k} = {{{recPicture}\left\lbrack {{xCb} + {xBl} + i} \right\rbrack}\left\lbrack {{yCb} + {yBl} + k} \right\rbrack}} & \text{(8-1126)} \\ {p_{i,k} = {{{recPicture}\left\lbrack {{xCb} + {xBl} - i - 1} \right\rbrack}\left\lbrack {{yCb} + {yBl} + k} \right\rbrack}} & \text{(8-1127)} \\ {{subSampleC} = {SubHeightC}} & \text{(8-1128)} \end{matrix}$

-   -   Otherwise (edgeType is equal to EDGE_HOR), the following         applies:

$\begin{matrix} {q_{i,k} = {{{recPicture}\left\lbrack {{x\; C\; b} + {x\; B\; l} + k} \right\rbrack}\left\lbrack {{yCb} + {yBl} + i} \right\rbrack}} & \text{(8-1129)} \\ {p_{i,k} = {{{recPicture}\left\lbrack {{x\; C\; b} + {x\; B\; l} + k} \right\rbrack}\left\lbrack {{yCb} + {yBl} - i - 1} \right\rbrack}} & \text{(8-1130)} \\ {{subSampleC} = {SubHeightC}} & \text{(8-1131)} \end{matrix}$

[[The variables Qp_(Q) and Qp_(P) are set equal to the Qp_(Y) values of the coding units which include the coding blocks containing the sample q_(0,0) and p_(0,0), respectively.]]

The variable Qp_(C) is derived as follows:

$\begin{matrix} {{qPi} = {{Clip}\; 3\left( {0,63,{\left( {\left( {{Qp_{Q}} + {Q\; p_{P}} + 1} \right) ⪢ 1} \right) + {cQpPicOffset}}} \right)}} & \text{(8-1132)} \\ {{Qp}_{C} = {{{ChromaQpTable}\left\lbrack {{cIdx} - 1} \right\rbrack}\lbrack{qPi}\rbrack}} & \text{(8-1133)} \end{matrix}$

-   -   NOTE—The variable cQpPicOffset provides an adjustment for the         value of pps_cb_qp_offset or pps_cr_qp_offset, according to         whether the filtered chroma component is the Cb or Cr component.         However, to avoid the need to vary the amount of the adjustment         within the picture, the filtering process does not include an         adjustment for the value of slice_cb_qp_offset or         slice_cr_qp_offset nor (when cu_chroma_qp_offset_enabled_flag is         equal to 1) for the value of CuQpOffset_(Cb), CuQpOffset_(Cr),         or CuQpOffset_(CbCr).         The value of the variable β is determined as specified in Table         8-18 based on the quantization parameter Q derived as follows:

$\begin{matrix} {Q = {{Clip}\; 3\left( {0,63,{{Qp}_{C} + \left( {{{slice\_ beta}{\_ offset}{\_ div2}} ⪡ 1} \right)}} \right)}} & \text{(8-1134)} \end{matrix}$

where slice_beta_offset_div2 is the value of the syntax element slice_beta_offset_div2 for the slice that contains sample q_(0,0). The variable β is derived as follows:

$\begin{matrix} {\beta = {\beta\text{'}*\left( {1 ⪡ \left( {{BitDepth}_{C} - 8} \right)} \right)}} & \text{(8-1135)} \end{matrix}$

The value of the variable t_(C)′ is determined as specified in Table 8-18 based on the chroma quantization parameter Q derived as follows:

$\begin{matrix} {Q = {{Clip}\; 3\left( {0,65,{{Qp}_{C} + {2^{*}\left( {{bS} - 1} \right)} + \left( {{{slice\_ tc}{\_ offset}{\_ div2}} ⪡ 1} \right)}} \right)}} & \text{(8-1136)} \end{matrix}$

where slice_tc_offset_div2 is the value of the syntax element slice_tc_offset_div2 for the slice that contains sample q_(0,0).

5.8. Embodiment #8 on Chroma QP in Deblocking

When making filter decisions for the depicted three samples (with solid circles), the QPs of the luma CU that covers the center position of the chroma CU including the three samples is selected. Therefore, for the 1^(st), 2^(nd), and 3^(rd) chroma sample (depicted in FIG. 11), only the QP of CU_(Y)3 is utilized, respectively.

In this way, how to select luma CU for chroma quantization/dequantization process is aligned with that for chroma filter decision process.

5.9. Embodiment #9 on QP Used for JCCR Coded Blocks 8.7.3 Scaling Process for Transform Coefficients

Inputs to this process are:

-   a luma location (xTbY,yTbY) specifying the top-left sample of the     current luma transform block relative to the top-left luma sample of     the current picture, -   a variable nTbW specifying the transform block width, -   a variable nTbH specifying the transform block height, -   a variable cIdx specifying the colour component of the current     block, -   a variable bitDepth specifying the bit depth of the current colour     component.     Output of this process is the (nTbW)×(nTbH) array d of scaled     transform coefficients with elements d[x][y].     The quantization parameter qP is derived as follows: -   If cIdx is equal to 0 and transform_skip_flag[xTbY][yTbY] is equal     to 0, the following applies:

$\begin{matrix} {{qP} = {{Qp}^{\prime}}_{Y}} & \left( {8 - 950} \right) \end{matrix}$

-   Otherwise, if cIdx is equal to 0 (and     transform_skip_flag[xTbY][yTbY] is equal to 1), the following     applies:

$\begin{matrix} {{qP} = {{Max}\left( {{{QpPrimeTs}{Min}},{{Qp}^{\prime}}_{Y}} \right)}} & \text{(8-951)} \end{matrix}$

-   Otherwise, if TuCResMode[xTbY][yTbY] is unequal to     [[equal to 2]], the following applies:

$\begin{matrix} {{qP} = {{Qp}^{\prime}}_{CbCr}} & \text{(8-952)} \end{matrix}$

-   Otherwise, if cIdx is equal to 1, the following applies:

$\begin{matrix} {{qP} = {{Qp}^{\prime}}_{Cb}} & \text{(8-953)} \end{matrix}$

-   Otherwise (cIdx is equal to 2), the following applies:

$\begin{matrix} {{qP} = {{Qp}^{\prime}}_{Cr}} & \text{(8-954)} \end{matrix}$

5.10 Embodiment #10 on QP Used for JCCR Coded Blocks 8.8.3.2 Deblocking Filter Process for One Direction

Inputs to this process are:

-   the variable treeType specifying whether the luma (DUAL_TREE_LUMA)     or chroma components (DUAL_TREE_CHROMA) are currently processed, -   when treeType is equal to DUAL_TREE_LUMA, the reconstructed picture     prior to deblocking, i.e., the array recPicture_(L), -   when ChromaArrayType is not equal to 0 and treeType is equal to     DUAL_TREE_CHROMA, the arrays recPicture_(Cb) and recPicture_(Cr), -   a variable edgeType specifying whether a vertical (EDGE_VER) or a     horizontal (EDGE_HOR) edge is filtered.     Outputs of this process are the modified reconstructed picture after     deblocking, i.e: -   when treeType is equal to DUAL_TREE_LUMA, the array recPicture_(L), -   when ChromaArrayType is not equal to 0 and treeType is equal to     DUAL_TREE_CHROMA, the arrays recPicture_(Cb) and recPicture_(Cr).     The variables firstCompIdx and lastCompIdx are derived as follows:

$\begin{matrix} {{firstCompIdx} = {\left( {{treeType}=={{DUAL\_ TREE}{\_ CHROMA}}} \right)?\text{1:0}}} & \text{(8-1022)} \\ {{lastCompIdx} = \left( {{treeType}=={{DUAL\_ TREE}{\_ LUMA}{\left. {{ChromaArrayType}==0} \right)?\text{0:2}}}} \right.} & \left( {8 - 1023} \right) \end{matrix}$

For each coding unit and each coding block per colour component of a coding unit indicated by the colour component index cIdx ranging from firstCompIdx to lastCompIdx, inclusive, with coding block width nCbW, coding block height nCbH and location of top-left sample of the coding block (xCb,yCb), when cIdx is equal to 0, or when cIdx is not equal to 0 and edgeType is equal to EDGE_VER and xCb % 8 is equal 0, or when cIdx is not equal to 0 and edgeType is equal to EDGE_HOR and yCb % 8 is equal to 0, the edges are filtered by the following ordered steps: . . . [[5. The picture sample array recPicture is derived as follows:

-   -   If cIdx is equal to 0, recPicture is set equal to the         reconstructed luma picture sample array prior to deblocking         recPicture_(L).     -   Otherwise, if cIdx is equal to 1, recPicture is set equal to the         reconstructed chroma picture sample array prior to deblocking         recPicture_(Cb).     -   Otherwise (cIdx is equal to 2), recPicture is set equal to the         reconstructed chroma picture sample array prior to deblocking         recPicture_(Cr)]]

. . .

-   -   The edge filtering process for one direction is invoked for a         coding block as specified in clause 8.8.3.6 with the variable         edgeType, the variable cIdx, the reconstructed picture prior to         deblocking recPicture, the location (xCb,yCb), the coding block         width nCbW, the coding block height nCbH, and the arrays bS,         maxFilterLengthPs, and maxFilterLengthQs, as inputs, and the         modified reconstructed picture recPicture as output.

8.8.3.5 Derivation Process of Boundary Filtering Strength

Inputs to this process are:

-   a picture sample array recPicture, -   a location (xCb,yCb) specifying the top-left sample of the current     coding block relative to the top-left sample of the current picture, -   a variable nCbW specifying the width of the current coding block, -   a variable nCbH specifying the height of the current coding block, -   a variable edgeType specifying whether a vertical (EDGE_VER) or a     horizontal (EDGE_HOR) edge is filtered, -   a variable cIdx specifying the colour component of the current     coding block, -   a two-dimensional (nCbW)×(nCbH) array edgeFlags.     Output of this process is a two-dimensional (nCbW)×(nCbH) array bS     specifying the boundary filtering strength.     The variables xD_(i), yD_(j), xN and yN are derived as follows:     . . .     For xD_(i) with i=0 . . . xN and yD_(j) with j=0 . . . yN, the     following applies:     -   If edgeFlags[xD_(i)][yD_(j)] is equal to 0, the variable         bS[xD_(i)][yD_(j)] is set equal to 0.     -   Otherwise, the following applies:         -   The sample values p₀ and q₀ are derived as follows:             -   If edgeType is equal to EDGE_VER, p₀ is set equal to                 recPicture                 xCb+xD_(i)1][yCb+yD_(j)] and q₀ is set equal to                 recPicture                 [xCb+xD_(i)][yCb+yD_(j)].             -   Otherwise (edgeType is equal to EDGE_HOR), p₀ is set                 equal to recPicture                 [xCb+xD_(i)][yCb+yD_(j)1] and q₀ is set equal to                 recPicture                 [xCb+xD_(i)][yCb+yD_(j)].                 . . .

8.8.3.6 Edge Filtering Process for One Direction

Inputs to this process are:

-   a variable edgeType specifying whether vertical edges (EDGE_VER) or     horizontal edges (EDGE_HOR) are currently processed, -   a variable cIdx specifying the current colour component, -   the reconstructed picture prior to deblocking recPicture, -   a location (xCb,yCb) specifying the top-left sample of the current     coding block relative to the top-left sample of the current picture, -   a variable nCbW specifying the width of the current coding block, -   a variable nCbH specifying the height of the current coding block, -   the array bS specifying the boundary strength, -   the arrays maxFilterLengthPs and maxFilterLengthQs.     Output of this process is the modified reconstructed picture after     deblocking recPicture_(i).     . . .     -   Otherwise (cIdx is not equal to 0), the filtering process for         edges in the chroma coding block of current coding unit         specified by cIdx consists of the following ordered steps:         -   1. The variable cQpPicOffset is derived as follows:

-   -   -   2.         -   3. The decision process for chroma block edges as specified             in clause 8.8.3.6.3 is invoked with the chroma picture             sample array recPicture, the location of the chroma coding             block (xCb,yCb), the location of the chroma block (xBl,yBl)             set equal to (xD_(k),yD_(m)), the edge direction edgeType,             the variable cQpPicOffset, the boundary filtering strength             bS[xD_(k)][yD_(m)], and the variable maxFilterLengthCbCr set             equal to maxFilterLengthPs[xD_(k)][yD_(m)] as inputs, and             the modified variable maxFilterLengthCbCr, and the variable             t_(C) as outputs.         -   4. When maxFilterLengthCbCr is greater than 0, the filtering             process for chroma block edges as specified in clause             8.8.3.6.4 is invoked with the chroma picture sample array             recPicture, the location of the chroma coding block             (xCb,yCb), the chroma location of the block (xBl,yBl) set             equal to (xD_(k),yD_(m)), the edge direction edgeType, the             variable maxFilterLengthCbC             and the variable t_(C) as inputs, and the modified chroma             picture sample array recPicture as output.             -   

8.8.3.6.3 Decision Process for Chroma Block Edges

This process is only invoked when ChromaArrayType is not equal to 0. Inputs to this process are:

-   a chroma picture sample array recPicture, -   a chroma location (xCb,yCb) specifying the top-left sample of the     current chroma coding block relative to the top-left chroma sample     of the current picture, -   a chroma location (xBl,yBl) specifying the top-left sample of the     current chroma block relative to the top-left sample of the current     chroma coding block, -   a variable edgeType specifying whether a vertical (EDGE_VER) or a     horizontal (EDGE_HOR) edge is filtered, -   [[a variable cIdx specifying the colour component index,]] -   a variable cQpPicOffset specifying the picture-level chroma     quantization parameter offset, -   a variable bS specifying the boundary filtering strength, -   a variable maxFilterLengthCbCr.     Outputs of this process are -   the modified variable maxFilterLengthCbCr, -   the variable t_(C).     The variable maxK is derived as follows: -   If edgeType is equal to EDGE_VER, the following applies:

$\begin{matrix} {{\max K} = {{\left( {{SubHeigtC}==1} \right)?3}:1}} & \left( {8 - 1124} \right) \end{matrix}$

-   Otherwise (edgeType is equal to EDGE_HOR), the following applies:

$\begin{matrix} {{\max K} = {{\left( {{SubWidthC}==1} \right)?3}:1}} & \left( {8 - 1125} \right) \end{matrix}$

The values p_(i) and q_(i) with

i=0 . . . maxFilterLengthCbCr and k=0 . . . maxK are derived as follows:

-   If edgeType is equal to EDGE_VER, the following applies::

$\begin{matrix}  & \left( {8 - 1126} \right) \end{matrix}$ q_(i, k) = recPicturexCb + xB1 + i][yCb + yB1 + k] $\begin{matrix}  & \left( {8 - 1127} \right) \end{matrix}$ p i , k = recPicture ⁢ [ xCb + xB ⁢ 1 - i - 1 ] [ yCb + yB ⁢ 1 + k ] $\begin{matrix} {{subSampleC} = {SubHeightC}} & \left( {8 - 1128} \right) \end{matrix}$

-   Otherwise (edgeType is equal to EDGE_HOR), the following applies:

$\begin{matrix} {q = {{recPicture}{{\left\lbrack {{xCb} + {{xB}1} + k} \right\rbrack}\left\lbrack {{yCb} + {{yB}1} + i} \right\rbrack}}} & \left( {8 - 1129} \right) \end{matrix}$ $\begin{matrix} {p = {{recPicture}{{\left\lbrack {{xCb} + {{xB}1} + k} \right\rbrack}\left\lbrack {{yCb} + {{yB}1} - i - 1} \right\rbrack}}} & \left( {8 - 1130} \right) \end{matrix}$ $\begin{matrix} {{subSampleC} = {SubWidthC}} & \left( {8 - 1131} \right) \end{matrix}$

The variables Qp_(Q) and Qp_(P) are set equal to the Qp_(Y) values of the coding units which include the coding blocks containing the sample q_(0,0) and p_(0,0), respectively. The variable Qp_(C) is derived as follows:

qPi=

(Qp_(Q)+Qp_(P)+1)>>1)

  (8-1132)

-   -   NOTE—The variable cQpPicOffset provides an adjustment for the         value of pps_cb_qp_offset or pps_cr_qp_offset, according to         whether the filtered chroma component is the Cb or Cr component.         However, to avoid the need to vary the amount of the adjustment         within the picture, the filtering process does not include an         adjustment for the value of slice_cb_qp_offset or         slice_cr_qp_offset nor (when cu_chroma_qp_offset_enabled_flag is         equal to 1) for the value of CuQpOffset_(Cb), CuQpOffset_(Cr),         or CuQpOffset_(CbCr).         The value of the variable β is determined as specified in Table         8-18 based on the quantization parameter Q derived as follows:

$\begin{matrix} {Q = {{Clip}3\left( {0,63,{{Qp}_{C} + \left( {{{slice\_ beta}{\_ offset}{\_ div2}} \ll 1} \right)}} \right)}} & \left( {8 - 1134} \right) \end{matrix}$

where slice_beta_offset_div2 is the value of the syntax element slice_beta_offset_div2 for the slice that contains sample q_(0,0). The variable β is derived as follows:

$\begin{matrix} {\beta = {\beta^{\prime}*\left( {1 \ll \left( {{BitDepth}_{C} - 8} \right)} \right)}} & \left( {8 - 1135} \right) \end{matrix}$

The value of the variable t_(C)′ is determined as specified in Table 8-18 based on the chroma quantization parameter Q derived as follows:

$\begin{matrix} {Q = {{Clip}3\left( {0,65,{{Qp}_{C} + {2*\left( {{bS} - 1} \right)} + \left( {{{slice\_ tc}{\_ offset}{\_ div2}} \ll 1} \right)}} \right)}} & \left( {8 - 1136} \right) \end{matrix}$

where slice_tc_offset_div2 is the value of the syntax element slice_tc_offset_div2 for the slice that contains sample q_(0,0). The variable t_(C) is derived as follows:

$\begin{matrix}  & \left( {8 - 1137} \right) \end{matrix}$ t_(C) = (BitDepth_(C) < 10)?(t_(C)^(′) + 2) ≫ (10 − BitDepth_(C)) : t_(C)^(′) * (1 ≪ (BitDepth_(C) − 8))

When maxFilterLengthCbCr is equal to 1 and bS is not equal to 2, maxFilterLengthCbCr is set equal to 0. When maxFilterLengthCbCr is equal to 3, the following ordered steps apply:

-   1. The variables n1, dpq0c, dpq1c, dpc, dqc and d     are derived as follows:

$\begin{matrix} {{n1} = {{\left( {{subSampleC}==2} \right)?1}:3}} & \left( {8 - 1138} \right) \end{matrix}$ $\begin{matrix} {{{dp}0\underline{c}} = {{Abs}\left( {{p\underline{c}},_{2,0}{{- 2}*p\underline{c}},_{1,0}{{+ p}\underline{c}},_{0,0}} \right)}} & \left( {8 - 1139} \right) \end{matrix}$ $\begin{matrix} {{{dp}1\underline{c}} = {{Abs}\left( {{p\underline{c}},_{2,{n1}}{- {2*p\underline{c}}},_{1,0}{+ {p\underline{c}}},_{0,{n1}}} \right)}} & \left( {8 - 1140} \right) \end{matrix}$ $\begin{matrix} {{{dq}0\underline{c}} = {{Abs}\left( {{q\underline{c}},_{2,0}{{- 2}*q\underline{c}},_{1,0}{{+ q}\underline{c}},_{0,0}} \right)}} & \left( {8 - 1141} \right) \end{matrix}$ $\begin{matrix} {{{dq}1\underline{c}} = {{Abs}\left( {{q\underline{c}},_{2,{n1}}{{- 2}*q\underline{c}},_{1,{n1}}{{+ q}\underline{c}},_{0,{n1}}} \right)}} & \left( {8 - 1142} \right) \end{matrix}$ $\begin{matrix} {{{dp}q0\underline{c}} = {{{dp}0\underline{c}} + {{dq}0\underline{c}}}} & \left( {8 - 1143} \right) \end{matrix}$ $\begin{matrix} {{{dpq}1\underline{c}} = {{{dp}1\underline{c}} + {{dq}1\underline{c}}}} & \left( {8 - 1144} \right) \end{matrix}$ $\begin{matrix} {{{dp}\underline{c}} = {{{dp}0\underline{c}} + {{dp}1\underline{c}}}} & \left( {8 - 1145} \right) \end{matrix}$ $\begin{matrix} {{{dq}\underline{c}} = {{{dq}0\underline{c}} + {{dq}1\underline{c}}}} & \left( {8 - 1146} \right) \end{matrix}$ $\begin{matrix} {{d\underline{c}} = {{{dpq}0\underline{c}} + {{dpq}1\underline{c}}}} & \left( {8 - 1147} \right) \end{matrix}$

-   2. -   3. The variables dSam0 and dSam1 are both set equal to 0. -   4. When d is less than β, the following ordered steps apply:     -   a. The variable dpq is set equal to 2*dpq0.     -   b. The variable dSam0 is derived by invoking the decision         process for a chroma sample as specified in clause 8.8.3.6.8 for         the sample location (xCb+xBl,yCb+yBl) with sample values         p_(0,0), p_(3,0), q_(0,0), and q3,0, the variables dpq, β and         t_(C) as inputs, and the output is assigned to the decision         dSam0.     -   c. The variable dpq is set equal to 2*dpq1.     -   d. The variable dSam1 is modified as follows:         -   If edgeType is equal to EDGE_VER, for the sample location             (xCb+xBl,yCb+yBl+n1), the decision process for a chroma             sample as specified in clause 8.8.3.6.8 is invoked with             sample values p_(0,n1), p_(3,n1), q_(0,n1), and q_(3,n1),             the variables dpq, β and t_(C) as inputs, and the output is             assigned to the decision dSam1.         -   Otherwise (edgeType is equal to EDGE_HOR), for the sample             location (xCb+xBl+n1,yCb+yBl), the decision process for a             chroma sample as specified in clause 8.8.3.6.8 is invoked             with sample values p_(0,n1), P_(3,n1), q_(0,n1) and             q_(3,n1), the variables dpq, β and t_(C) as inputs, and the             output is assigned to the decision dSam1. -   5. The variable maxFilterLengthCbCr is modified as follows:     -   If dSam0 is equal to 1 and dSam1 is equal to 1,         maxFilterLengthCbCr is set equal to 3.     -   Otherwise, maxFilterLengthCbCr is set equal to 1.

8.8.3.6.4 Filtering Process for Chroma Block Edges

This process is only invoked when ChromaArrayType is not equal to 0. Inputs to this process are:

-   a chroma picture sample array recPicture, -   a chroma location (xCb,yCb) specifying the top-left sample of the     current chroma coding block relative to the top-left chroma sample     of the current picture, -   a chroma location (xBl,yBl) specifying the top-left sample of the     current chroma block relative to the top-left sample of the current     chroma coding block, -   a variable edgeType specifying whether a vertical (EDGE_VER) or a     horizontal (EDGE_HOR) edge is filtered, -   a variable maxFilterLengthCbCr containing the maximum chroma filter     length, -   6. -   the variable tC.     Output of this process is the modified chroma picture sample array     recPicture.     . . .     The values p_(i) and q_(i) with i=0 . . . maxFilterLengthCbCr and     k=0 . . . maxK are derived as follows: -   If edgeType is equal to EDGE_VER, the following applies:

$\begin{matrix} {q_{i,k} = {{recPicture}{\left\lbrack {{xCb} + {{xB}1} + i} \right\rbrack\left\lbrack {{yCb} + {{yB}1} + k} \right\rbrack}}} & \left( {8 - 1150} \right) \end{matrix}$ $\begin{matrix} {p_{i,k} = {{recPicture}{\left\lbrack {{xCb} + {{xB}1} - i - 1} \right\rbrack\left\lbrack {{yCb} + {{yB}1} + k} \right\rbrack}}} & \left( {8 - 1151} \right) \end{matrix}$

-   Otherwise (edgeType is equal to EDGE_HOR), the following applies:

$\begin{matrix} {q_{i,k} = {{recPicture}{\left\lbrack {{xCb} + {{xB}1} + k} \right\rbrack\left\lbrack {{yCb} + {{yB}1} + i} \right\rbrack}}} & \left( {8 - 1152} \right) \end{matrix}$ $\begin{matrix} {p_{i,k} = {{recPicture}{\left\lbrack {{xCb} + {{xB}1} + k} \right\rbrack\left\lbrack {{yCb} + {{yB}1} - i - 1} \right\rbrack}}} & \left( {8 - 1153} \right) \end{matrix}$

Depending on the value of edgeType, the following applies:

-   If edgeType is equal to EDGE_VER, for each sample location     (xCb+xBl,yCb+yBl+k), k=0 . . . maxK, the following ordered steps     apply:     -   1. The filtering process for a chroma sample as specified in         clause 8.8.3.6.9 is invoked with the variable         maxFilterLengthCbCr, the sample values p_(i,k), q_(i,k) with i=0         . . . maxFilterLengthCbCr, the locations (xCb+xBl−i−1,yCb+yBl+k)         and (xCb+xBl+i,yCb+yBl+k) with i=0 . . . maxFilterLengthCbCr−1,         and the variable t_(C) as inputs, and the filtered sample values         p_(i)′ and q_(i)′ with i=0 . . . maxFilterLengthCbCr−1 as         outputs.     -   2. The filtered sample values p_(i)′ and q_(i)′ with i=0 . . .         maxFilterLengthCbCr−1 replace the corresponding samples inside         the sample array recPicture as follows:

$\begin{matrix} {{{recPicture}{\left\lbrack {{xCb} + {{xB}1} + i} \right\rbrack\left\lbrack {{yCb} + {yB1} + k} \right\rbrack}} = q_{i}^{\prime}} & \left( {8 - 1154} \right) \end{matrix}$ $\begin{matrix} {{{recPicture}{\left\lbrack {{xCb} + {{xB}1} - i - 1} \right\rbrack\left\lbrack {{yCb} + {{yB}1} + k} \right\rbrack}} = p_{i}^{\prime}} & \left( {8 - 1155} \right) \end{matrix}$

-   Otherwise (edgeType is equal to EDGE_HOR), for each sample location     (xCb+xBl+k,yCb+yBl), k=0 . . . maxK, the following ordered steps     apply:     -   1. The filtering process for a chroma sample as specified in         clause 8.8.3.6.9 is invoked with the variable         maxFilterLengthCbCr, the sample values p_(i,k), q_(i,k), with         i=0 . . . maxFilterLengthCbCr, the locations         (xCb+xBl+k,yCb+yBl−i−1) and (xCb+xBl+k,yCb+yBl+i), and the         variable t_(C) as inputs, and the filtered sample values p_(i)′         and q_(i)′ as outputs.     -   2. The filtered sample values p_(i)′ and q_(i)′ replace the         corresponding samples inside the sample array recPicture as         follows:

$\begin{matrix} {{{recPicture}{\left\lbrack {{xCb} + {{xB}1} + k} \right\rbrack\left\lbrack {{yCb} + {yB1} + i} \right\rbrack}} = q_{i}^{\prime}} & \left( {8 - 1156} \right) \end{matrix}$ $\begin{matrix} {{{recPicture}{\left\lbrack {{xCb} + {{xB}1} + k} \right\rbrack\left\lbrack {{yCb} + {{yB}1} - i - 1} \right\rbrack}} = p_{i}^{\prime}} &  \end{matrix}$

5.11 Embodiment #11 8.8.3.6.3 Decision Process for Chroma Block Edges

. . . [[The variables Qp_(Q) and Qp_(P) are set equal to the Qp_(Y) values of the coding units which include the coding blocks containing the sample q_(0,0) and p_(0,0), respectively. The variable Qp_(C) is derived as follows:

$\begin{matrix} {{qPi} = {{Clip}3\left( {0,63,{\left( {\left( {{Qp_{Q}} + {Qp}_{P} + 1} \right) \gg 1} \right) + {cQpPicOffset}}} \right)}} & \left( {8 - 1132} \right) \end{matrix}$ $\begin{matrix} {{Qp}_{C} = {{{ChromaOpTable}\left\lbrack {{cIdx} - 1} \right\rbrack}\lbrack{qPi}\rbrack}} & \left. \left. \left( {8 - 1133} \right) \right\rbrack \right\rbrack \end{matrix}$

-   -   

    -   

-   

5.12 Embodiment #12 8.8.3.6.3 Decision Process for Chroma Block Edges

. . . [[The variables Qp_(Q) and Qp_(P) are set equal to the Qp_(Y) values of the coding units which include the coding blocks containing the sample q_(0,0) and p_(0,0), respectively. The variable Qp_(C) is derived as follows:

$\begin{matrix} {{qPi} = {{Clip}3\left( {0,63,{\left( {\left( {{Qp_{Q}} + {Qp}_{P} + 1} \right) \gg 1} \right) + {cQpPicOffset}}} \right.}} & \left( {8 - 1132} \right) \end{matrix}$ $\begin{matrix} {{Qp}_{C} = {{{ChromaOpTable}\left\lbrack {{cIdx} - 1} \right\rbrack}\left\lbrack {qPi} \right\rbrack}} & \left( {8 - 1133} \right) \end{matrix}$

-   -   NOTE—The variable cQpPicOffset provides an adjustment for the         value of pps_cb_qp_offset or pps_cr_qp_offset, according to         whether the filtered chroma component is the Cb or Cr component.         However, to avoid the need to vary the amount of the adjustment         within the picture, the filtering process does not include an         adjustment for the value of slice_cb_qp_offset or         slice_cr_qp_offset nor (when cu_chroma_qp_offset_enabled_flag is         equal to 1) for the value of CuQpOffset_(Cb), CuQpOffset_(Cr),         or CuQpOffset_(CbCr).]]

6. Example Implementations of the Disclosed Technology

FIG. 12 is a block diagram of a video processing apparatus 1200. The apparatus 1200 may be used to implement one or more of the methods described herein. The apparatus 1200 may be embodied in a smartphone, tablet, computer, Internet of Things (IoT) receiver, and so on. The apparatus 1200 may include one or more processors 1202, one or more memories 1204 and video processing hardware 1206. The processor(s) 1202 may be configured to implement one or more methods described in the present document. The memory (memories) 1204 may be used for storing data and code used for implementing the methods and techniques described herein. The video processing hardware 1206 may be used to implement, in hardware circuitry, some techniques described in the present document, and may be partly or completely be a part of the processors 1202 (e.g., graphics processor core GPU or other signal processing circuitry).

In the present document, the term “video processing” may refer to video encoding, video decoding, video compression or video decompression. For example, video compression algorithms may be applied during conversion from pixel representation of a video to a corresponding bitstream representation or vice versa. The bitstream representation of a current video block may, for example, correspond to bits that are either co-located or spread in different places within the bitstream, as is defined by the syntax. For example, a macroblock may be encoded in terms of transformed and coded error residual values and also using bits in headers and other fields in the bitstream.

It will be appreciated that the disclosed methods and techniques will benefit video encoder and/or decoder embodiments incorporated within video processing devices such as smartphones, laptops, desktops, and similar devices by allowing the use of the techniques disclosed in the present document.

FIG. 13 is a flowchart for an example method 1300 of video processing. The method 1300 includes, at 1310, performing a conversion between a video unit and a bitstream representation of the video unit, wherein, during the conversion, a deblocking filter is used on boundaries of the video unit such that when a chroma quantization parameter (QP) table is used to derive parameters of the deblocking filter, processing by the chroma QP table is performed on individual chroma QP values.

Some embodiments may be described using the following clause-based format.

1. A method of video processing, comprising:

performing a conversion between a video unit and a bitstream representation of the video unit, wherein, during the conversion, a deblocking filter is used on boundaries of the video unit such that when a chroma quantization parameter (QP) table is used to derive parameters of the deblocking filter, processing by the chroma QP table is performed on individual chroma QP values.

2. The method of clause 1, wherein chroma QP offsets are added to the individual chroma QP values subsequent to the processing by the chroma QP table.

3. The method of any of clauses 1-2, wherein the chroma QP offsets are added to values outputted by the chroma QP table.

4. The method of any of clauses 1-2, wherein the chroma QP offsets are not considered as input to the chroma QP table.

5. The method of clause 2, wherein the chroma QP offsets are at a picture-level or at a video unit-level.

6. A method of video processing, comprising:

performing a conversion between a video unit and a bitstream representation of the video unit, wherein, during the conversion, a deblocking filter is used on boundaries of the video unit such that chroma QP offsets are used in the deblocking filter, wherein the chroma QP offsets are at picture/slice/tile/brick/sub picture level.

7. The method of clause 6, wherein the chroma QP offsets used in the deblocking filter are associated with a coding method applied on a boundary of the video unit.

8. The method of clause 7, wherein the coding method is a joint coding of chrominance residuals (JCCR) method.

9. A method of video processing, comprising:

performing a conversion between a video unit and a bitstream representation of the video unit, wherein, during the conversion, a deblocking filter is used on boundaries of the video unit such that chroma QP offsets are used in the deblocking filter, wherein information pertaining to a same luma coding unit is used in the deblocking filter and for deriving a chroma QP offset.

10. The method of clause 9, wherein the same luma coding unit covers a corresponding luma sample of a center position of the video unit, wherein the video unit is a chroma coding unit.

11. The method of clause 9, wherein a scaling process is applied to the video unit, and wherein one or more parameters of the deblocking filter depend at least in part on quantization/dequantization parameters of the scaling process.

12. The method of clause 11, wherein the quantization/dequantization parameters of the scaling process include the chroma QP offset.

13. The method of any of clauses 9-12, wherein the luma sample in the video unit is in the P side or Q side.

14. The method of clause 13, wherein the information pertaining to the same luma coding unit depends on a relative position of the coding unit with respect to the same luma coding unit.

15. A method of video processing, comprising:

performing a conversion between a video unit and a bitstream representation of the video unit, wherein, during the conversion, a deblocking filter is used on boundaries of the video unit such that chroma QP offsets are used in the deblocking filter, wherein an indication of enabling usage of the chroma QP offsets is signaled in the bitstream representation.

16. The method of clause 15, wherein the indication is signaled conditionally in response to detecting one or more flags.

17. The method of clause 16, wherein the one or more flags are related to a JCCR enabling flag or a chroma QP offset enabling flag.

18. The method of clause 15, wherein the indication is signaled based on a derivation.

19. A method of video processing, comprising:

performing a conversion between a video unit and a bitstream representation of the video unit, wherein, during the conversion, a deblocking filter is used on boundaries of the video unit such that chroma QP offsets are used in the deblocking filter, wherein the chroma QP offsets used in the deblocking filter are identical of whether JCCR coding method is applied on a boundary of the video unit or a method different from the JCCR coding method is applied on the boundary of the video unit.

20. A method of video processing, comprising:

performing a conversion between a video unit and a bitstream representation of the video unit, wherein, during the conversion, a deblocking filter is used on boundaries of the video unit such that chroma QP offsets are used in the deblocking filter, wherein a boundary strength (BS) of the deblocking filter is calculated without comparing reference pictures and/or a number of motion vectors (MVs) associated with the video unit at a P side boundary with reference pictures and/or a number of motion vectors (MVs) associated with the video unit at a Q side.

21. The method of clause 20, wherein the deblocking filter is disabled under one or more conditions. 22. The method of clause 21, wherein the one or more conditions are associated with: a magnitude of the motion vectors (MVs) or a threshold value.

23. The method of clause 22, wherein the threshold value is associated with at least one of: i. contents of the video unit, ii. a message signaled in DPS/SPS/VPS/PPS/APS/picture header/slice header/tile group header/Largest coding unit (LCU)/Coding unit (CU)/LCU row/group of LCUs/TU/PU block/Video coding unit, iii. a position of CU/PU/TU/block/Video coding unit, iv. a coded mode of blocks with samples along the boundaries, v. a transform matrix applied to the video units with samples along the boundaries, vi. a shape or dimension of the video unit, vii. an indication of a color format, viii. a coding tree structure, ix. a slice/tile group type and/or picture type, x. a color component, xi. a temporal layer ID, or xii. a profile/level/tier of a standard.

24. The method of clause 20, wherein different QP offsets are used for TS coded video units and non-TS coded video units.

25. The method of clause 20, wherein a QP used in a luma filtering step is related to a QP used in a scaling process of a luma block.

26. A video decoding apparatus comprising a processor configured to implement a method recited in one or more of clauses 1 to 25.

27. A video encoding apparatus comprising a processor configured to implement a method recited in one or more of clauses 1 to 25.

28. A computer program product having computer code stored thereon, the code, when executed by a processor, causes the processor to implement a method recited in any of clauses 1 to 25.

29. A method, apparatus or system described in the present document.

FIG. 15 is a block diagram that illustrates an example video coding system 100 that may utilize the techniques of this disclosure.

As shown in FIG. 15, video coding system 100 may include a source device 110 and a destination device 120. Source device 110 generates encoded video data which may be referred to as a video encoding device. Destination device 120 may decode the encoded video data generated by source device 110 which may be referred to as a video decoding device.

Source device 110 may include a video source 112, a video encoder 114, and an input/output (I/O) interface 116.

Video source 112 may include a source such as a video capture device, an interface to receive video data from a video content provider, and/or a computer graphics system for generating video data, or a combination of such sources. The video data may comprise one or more pictures. Video encoder 114 encodes the video data from video source 112 to generate a bitstream. The bitstream may include a sequence of bits that form a coded representation of the video data. The bitstream may include coded pictures and associated data. The coded picture is a coded representation of a picture. The associated data may include sequence parameter sets, picture parameter sets, and other syntax structures. I/O interface 116 may include a modulator/demodulator (modem) and/or a transmitter. The encoded video data may be transmitted directly to destination device 120 via I/O interface 116 through network 130 a. The encoded video data may also be stored onto a storage medium/server 130 b for access by destination device 120.

Destination device 120 may include an I/O interface 126, a video decoder 124, and a display device 122.

I/O interface 126 may include a receiver and/or a modem. I/O interface 126 may acquire encoded video data from the source device 110 or the storage medium/server 130 b. Video decoder 124 may decode the encoded video data. Display device 122 may display the decoded video data to a user. Display device 122 may be integrated with the destination device 120, or may be external to destination device 120 which be configured to interface with an external display device.

Video encoder 114 and video decoder 124 may operate according to a video compression standard, such as the High Efficiency Video Coding (HEVC) standard, Versatile Video Coding (VVC) standard and other current and/or further standards.

FIG. 16 is a block diagram illustrating an example of video encoder 200, which may be video encoder 114 in the system 100 illustrated in FIG. 15.

Video encoder 200 may be configured to perform any or all of the techniques of this disclosure. In the example of FIG. 16, video encoder 200 includes a plurality of functional components. The techniques described in this disclosure may be shared among the various components of video encoder 200. In some examples, a processor may be configured to perform array or all of the techniques described in this disclosure.

The functional components of video encoder 200 may include a partition unit 201, a predication unit 202 which may include a mode select unit 203, a motion estimation unit 204, a motion compensation unit 205 and an intra prediction unit 206, a residual generation unit 207, a transform unit 208, a quantization unit 209, an inverse quantization unit 210, an inverse transform unit 211, a reconstruction unit 212, a buffer 213, and an entropy encoding unit 214.

In other examples, video encoder 200 may include more, fewer, or different functional components. In an example, predication unit 202 may include an intra block copy (IBC) unit. The IBC unit may perform predication in an IBC mode in which at least one reference picture is a picture where the current video block is located.

Furthermore, some components, such as motion estimation unit 204 and motion compensation unit 205 may be highly integrated, but are represented in the example of FIG. 5 separately for purposes of explanation.

Partition unit 201 may partition a picture into one or more video blocks. Video encoder 200 and video decoder 300 may support various video block sizes.

Mode select unit 203 may select one of the coding modes, intra or inter, e.g., based on error results, and provide the resulting intra- or inter-coded block to a residual generation unit 207 to generate residual block data and to a reconstruction unit 212 to reconstruct the encoded block for use as a reference picture. In some example, Mode select unit 203 may select a combination of intra and inter predication (CIIP) mode in which the predication is based on an inter predication signal and an intra predication signal. Mode select unit 203 may also select a resolution for a motion vector (e.g., a sub-pixel or integer pixel precision) for the block in the case of inter-predication.

To perform inter prediction on a current video block, motion estimation unit 204 may generate motion information for the current video block by comparing one or more reference frames from buffer 213 to the current video block. Motion compensation unit 205 may determine a predicted video block for the current video block based on the motion information and decoded samples of pictures from buffer 213 other than the picture associated with the current video block.

Motion estimation unit 204 and motion compensation unit 205 may perform different operations for a current video block, for example, depending on whether the current video block is in an I slice, a P slice, or a B slice.

In some examples, motion estimation unit 204 may perform uni-directional prediction for the current video block, and motion estimation unit 204 may search reference pictures of list 0 or list 1 for a reference video block for the current video block. Motion estimation unit 204 may then generate a reference index that indicates the reference picture in list 0 or list 1 that contains the reference video block and a motion vector that indicates a spatial displacement between the current video block and the reference video block. Motion estimation unit 204 may output the reference index, a prediction direction indicator, and the motion vector as the motion information of the current video block. Motion compensation unit 205 may generate the predicted video block of the current block based on the reference video block indicated by the motion information of the current video block.

In other examples, motion estimation unit 204 may perform bi-directional prediction for the current video block, motion estimation unit 204 may search the reference pictures in list 0 for a reference video block for the current video block and may also search the reference pictures in list 1 for another reference video block for the current video block. Motion estimation unit 204 may then generate reference indexes that indicate the reference pictures in list 0 and list 1 containing the reference video blocks and motion vectors that indicate spatial displacements between the reference video blocks and the current video block. Motion estimation unit 204 may output the reference indexes and the motion vectors of the current video block as the motion information of the current video block. Motion compensation unit 205 may generate the predicted video block of the current video block based on the reference video blocks indicated by the motion information of the current video block.

In some examples, motion estimation unit 204 may output a full set of motion information for decoding processing of a decoder.

In some examples, motion estimation unit 204 may do not output a full set of motion information for the current video. Rather, motion estimation unit 204 may signal the motion information of the current video block with reference to the motion information of another video block. For example, motion estimation unit 204 may determine that the motion information of the current video block is sufficiently similar to the motion information of a neighboring video block.

In one example, motion estimation unit 204 may indicate, in a syntax structure associated with the current video block, a value that indicates to the video decoder 300 that the current video block has the same motion information as the another video block.

In another example, motion estimation unit 204 may identify, in a syntax structure associated with the current video block, another video block and a motion vector difference (MVD). The motion vector difference indicates a difference between the motion vector of the current video block and the motion vector of the indicated video block. The video decoder 300 may use the motion vector of the indicated video block and the motion vector difference to determine the motion vector of the current video block.

As discussed above, video encoder 200 may predictively signal the motion vector. Two examples of predictive signaling techniques that may be implemented by video encoder 200 include advanced motion vector predication (AMVP) and merge mode signaling.

Intra prediction unit 206 may perform intra prediction on the current video block. When intra prediction unit 206 performs intra prediction on the current video block, intra prediction unit 206 may generate prediction data for the current video block based on decoded samples of other video blocks in the same picture. The prediction data for the current video block may include a predicted video block and various syntax elements.

Residual generation unit 207 may generate residual data for the current video block by subtracting (e.g., indicated by the minus sign) the predicted video block(s) of the current video block from the current video block. The residual data of the current video block may include residual video blocks that correspond to different sample components of the samples in the current video block.

In other examples, there may be no residual data for the current video block for the current video block, for example in a skip mode, and residual generation unit 207 may not perform the subtracting operation.

Transform processing unit 208 may generate one or more transform coefficient video blocks for the current video block by applying one or more transforms to a residual video block associated with the current video block.

After transform processing unit 208 generates a transform coefficient video block associated with the current video block, quantization unit 209 may quantize the transform coefficient video block associated with the current video block based on one or more quantization parameter (QP) values associated with the current video block.

Inverse quantization unit 210 and inverse transform unit 211 may apply inverse quantization and inverse transforms to the transform coefficient video block, respectively, to reconstruct a residual video block from the transform coefficient video block. Reconstruction unit 212 may add the reconstructed residual video block to corresponding samples from one or more predicted video blocks generated by the predication unit 202 to produce a reconstructed video block associated with the current block for storage in the buffer 213.

After reconstruction unit 212 reconstructs the video block, loop filtering operation may be performed reduce video blocking artifacts in the video block.

Entropy encoding unit 214 may receive data from other functional components of the video encoder 200. When entropy encoding unit 214 receives the data, entropy encoding unit 214 may perform one or more entropy encoding operations to generate entropy encoded data and output a bitstream that includes the entropy encoded data.

FIG. 17 is a block diagram illustrating an example of video decoder 300 which may be video decoder 114 in the system 100 illustrated in FIG. 15.

The video decoder 300 may be configured to perform any or all of the techniques of this disclosure. In the example of FIG. 17, the video decoder 300 includes a plurality of functional components. The techniques described in this disclosure may be shared among the various components of the video decoder 300. In some examples, a processor may be configured to perform any or all of the techniques described in this disclosure.

In the example of FIG. 17, video decoder 300 includes an entropy decoding unit 301, a motion compensation unit 302, an intra prediction unit 303, an inverse quantization unit 304, an inverse transformation unit 305, and a reconstruction unit 306 and a buffer 307. Video decoder 300 may, in some examples, perform a decoding pass generally reciprocal to the encoding pass described with respect to video encoder 200 (e.g., FIG. 16).

Entropy decoding unit 301 may retrieve an encoded bitstream. The encoded bitstream may include entropy coded video data (e.g., encoded blocks of video data). Entropy decoding unit 301 may decode the entropy coded video data, and from the entropy decoded video data, motion compensation unit 302 may determine motion information including motion vectors, motion vector precision, reference picture list indexes, and other motion information. Motion compensation unit 302 may, for example, determine such information by performing the AMVP and merge mode.

Motion compensation unit 302 may produce motion compensated blocks, possibly performing interpolation based on interpolation filters. Identifiers for interpolation filters to be used with sub-pixel precision may be included in the syntax elements.

Motion compensation unit 302 may use interpolation filters as used by video encoder 20 during encoding of the video block to calculate interpolated values for sub-integer pixels of a reference block. Motion compensation unit 302 may determine the interpolation filters used by video encoder 200 according to received syntax information and use the interpolation filters to produce predictive blocks.

Motion compensation unit 302 may uses some of the syntax information to determine sizes of blocks used to encode frame(s) and/or slice(s) of the encoded video sequence, partition information that describes how each macroblock of a picture of the encoded video sequence is partitioned, modes indicating how each partition is encoded, one or more reference frames (and reference frame lists) for each inter-encoded block, and other information to decode the encoded video sequence.

Intra prediction unit 303 may use intra prediction modes for example received in the bitstream to form a prediction block from spatially adjacent blocks. Inverse quantization unit 303 inverse quantizes, i.e., de-quantizes, the quantized video block coefficients provided in the bitstream and decoded by entropy decoding unit 301. Inverse transform unit 303 applies an inverse transform.

Reconstruction unit 306 may sum the residual blocks with the corresponding prediction blocks generated by motion compensation unit 202 or intra-prediction unit 303 to form decoded blocks. If desired, a deblocking filter may also be applied to filter the decoded blocks in order to remove blockiness artifacts. The decoded video blocks are then stored in buffer 307, which provides reference blocks for subsequent motion compensation.

FIG. 18 is a block diagram showing an example video processing system 1800 in which various techniques disclosed herein may be implemented. Various implementations may include some or all of the components of the system 1800. The system 1800 may include input 1802 for receiving video content. The video content may be received in a raw or uncompressed format, e.g., 8 or 10 bit multi-component pixel values, or may be in a compressed or encoded format. The input 1802 may represent a network interface, a peripheral bus interface, or a storage interface. Examples of network interface include wired interfaces such as Ethernet, passive optical network (PON), etc. and wireless interfaces such as Wi-Fi or cellular interfaces.

The system 1800 may include a coding component 1804 that may implement the various coding or encoding methods described in the present document. The coding component 1804 may reduce the average bitrate of video from the input 1802 to the output of the coding component 1804 to produce a coded representation of the video. The coding techniques are therefore sometimes called video compression or video transcoding techniques. The output of the coding component 1804 may be either stored, or transmitted via a communication connected, as represented by the component 1806. The stored or communicated bitstream (or coded) representation of the video received at the input 1802 may be used by the component 1808 for generating pixel values or displayable video that is sent to a display interface 1810. The process of generating user-viewable video from the bitstream representation is sometimes called video decompression. Furthermore, while certain video processing operations are referred to as “coding” operations or tools, it will be appreciated that the coding tools or operations are used at an encoder and corresponding decoding tools or operations that reverse the results of the coding will be performed by a decoder.

Examples of a peripheral bus interface or a display interface may include universal serial bus (USB) or high definition multimedia interface (HDMI) or Display port, and so on. Examples of storage interfaces include SATA (serial advanced technology attachment), PCI, IDE interface, and the like. The techniques described in the present document may be embodied in various electronic devices such as mobile phones, laptops, smartphones or other devices that are capable of performing digital data processing and/or video display.

FIG. 19 is a flowchart representation of a method for video processing in accordance with the present technology. The method 1900 includes, at operation 1910, determining, for a conversion between a chroma block of a video and a bitstream representation of the video, applicability of a deblocking filter process to at least some samples at an edge of the chroma block based on a mode of joint coding of chroma residuals for the chroma block. The method 1900 also includes, at operation 1920, performing the conversion based on the determining.

In some embodiments, a value indicating the mode of the joint coding of chroma residuals is equal to 2. In some embodiments, the deblocking filter process further uses one or more quantization parameter offsets at a video unit level, the video unit comprising a picture, a slice, a tile, a brick, or a subpicture.

FIG. 20 is a flowchart representation of a method for video processing in accordance with the present technology. The method 2000 includes, at operation 2010, determining, for a conversion between a current block of a video and a bitstream representation of the video, a chroma quantization parameter used in a deblocking filtering process applied to at least some samples at an edge of the current block based on information of a corresponding transform block of the current block. The method 2000 also includes, at operation 2020, performing the conversion based on the determining.

In some embodiments, the chroma quantization parameter is used for deblocking samples along a first side of the edge of the current block, and the chroma quantization parameter is based on a mode of the transform block that are on the first side. In some embodiments, the first side is referred to as P-side, the P-side comprising samples located above the edge in case the edge is a horizontal boundary or to the left of the edge in case the edge is a vertical boundary. In some embodiments, the chroma quantization parameter is used for deblocking samples along a second side of the edge of the current block, and the chroma quantization parameter is based on a mode of the transform block that are on the second side. In some embodiments, the second side is referred to as Q-side, the Q-side comprising samples located below the edge in case the edge is a horizontal boundary or to the right of the edge in case the edge is a vertical boundary.

In some embodiments, the chroma quantization parameter is determined based on whether a mode of joint coding of chroma residuals is applied. In some embodiments, the chroma quantization parameter is determined based on whether a mode of the joint coding of chroma residuals is equal to 2.

FIG. 21 is a flowchart representation of a method for video processing in accordance with the present technology. The method 2100 includes, at operation 2110, performing a conversion between a current block of a video and a bitstream representation of the video. During the conversion, a first chroma quantization parameter used in a deblocking filtering process applied to at least some samples along an edge of the current block is based on a second chroma quantization parameter used in a scaling process and a quantization parameter offset associated with a bit depth.

In some embodiments, the first chroma quantization parameter is equal to the second quantization parameter used in the scaling process minus the quantization parameter offset associated with the bit depth. In some embodiments, the first chroma quantization parameter used for deblocking samples along a first side of the edge of the current block. In some embodiments, the first side is referred to as P-side, the P-side comprising samples located above the edge in case the edge is a horizontal boundary or to the left of the edge in case the boundary is a vertical boundary. In some embodiments, the first chroma quantization parameter used for deblocking samples along a second side of the edge of the current block. In some embodiments, the second side is referred to as Q-side, the Q-side comprising samples located below the edge in case the edge is a horizontal boundary or to the right of the edge in case the edge is a vertical boundary.

In some embodiments, the first chroma quantization parameter is equal to the second quantization parameter for a joint coding of chroma residuals used in the scaling process minus quantization parameter offset associated with the bit depth. In some embodiments, the first chroma quantization parameter is equal to the second quantization parameter for a chroma Cb component used in the scaling process minus quantization parameter offset associated with the bit depth. In some embodiments, the first chroma quantization parameter is equal to the second quantization parameter for a chroma Cr component used in the scaling process minus quantization parameter offset associated with the bit depth.

FIG. 22 is a flowchart representation of a method for video processing in accordance with the present technology. The method 2200 includes, at operation 2210, performing a conversion between a video comprising one or more coding units and a bitstream representation of the video. The bitstream representation conforms to a format rule that specifies that chroma quantization parameters are included in the bitstream representation at a coding unit level or a transform unit level according to the format rule.

In some embodiments, the format rule specifies that the chroma quantization parameter is included at a coding unit level in case a size of the coding unit is larger than a virtual pipeline data unit. In some embodiments, the format rule specifies that the chroma quantization parameter is included at a transform unit level in case a size of the coding unit is larger than or equal to a virtual pipeline data unit. In some embodiments, the format rule specifies that the chroma quantization parameter is included at a coding unit level in case a size of the coding unit is larger than a maximum transform block size. In some embodiments, the format rule specifies that the chroma quantization parameter is included at a transform unit level in case a size of the coding unit is larger than or equal to a maximum transform block size. In some embodiments, the format rule further specifies that whether a joint coding of chroma residuals mode is applicable to a first coding unit of the one or more coding units is indicated at a coding unit level. In some embodiments, a transform block within the first coding unit inherits information about whether the joint coding of chroma residuals mode is applicable at the first coding unit level.

FIG. 23 is a flowchart representation of a method for video processing in accordance with the present technology. The method 2300 includes, at operation 2310, performing a conversion between a block of a video and a bitstream representation of the video. The bitstream representation conforms to a format rule specifying that whether a joint coding of chroma residuals mode is applicable to the block is indicated at a coding unit level in the bitstream representation.

In some embodiments, during the conversion, a transform block within a coding unit inherits information about whether the joint coding of chroma residuals mode is applicable at the coding unit level.

In some embodiments, the conversion includes encoding the video into the bitstream representation. In some embodiments, the conversion includes decoding the bitstream representation into the video.

Some embodiments of the disclosed technology include making a decision or determination to enable a video processing tool or mode. In an example, when the video processing tool or mode is enabled, the encoder will use or implement the tool or mode in the processing of a block of video, but may not necessarily modify the resulting bitstream based on the usage of the tool or mode. That is, a conversion from the block of video to the bitstream representation of the video will use the video processing tool or mode when it is enabled based on the decision or determination. In another example, when the video processing tool or mode is enabled, the decoder will process the bitstream with the knowledge that the bitstream has been modified based on the video processing tool or mode. That is, a conversion from the bitstream representation of the video to the block of video will be performed using the video processing tool or mode that was enabled based on the decision or determination.

Some embodiments of the disclosed technology include making a decision or determination to disable a video processing tool or mode. In an example, when the video processing tool or mode is disabled, the encoder will not use the tool or mode in the conversion of the block of video to the bitstream representation of the video. In another example, when the video processing tool or mode is disabled, the decoder will process the bitstream with the knowledge that the bitstream has not been modified using the video processing tool or mode that was enabled based on the decision or determination.

The disclosed and other solutions, examples, embodiments, modules and the functional operations described in this document can be implemented in digital electronic circuitry, or in computer software, firmware, or hardware, including the structures disclosed in this document and their structural equivalents, or in combinations of one or more of them. The disclosed and other embodiments can be implemented as one or more computer program products, i.e., one or more modules of computer program instructions encoded on a computer readable medium for execution by, or to control the operation of, data processing apparatus. The computer readable medium can be a machine-readable storage device, a machine-readable storage substrate, a memory device, a composition of matter effecting a machine-readable propagated signal, or a combination of one or more them. The term “data processing apparatus” encompasses all apparatus, devices, and machines for processing data, including by way of example a programmable processor, a computer, or multiple processors or computers. The apparatus can include, in addition to hardware, code that creates an execution environment for the computer program in question, e.g., code that constitutes processor firmware, a protocol stack, a database management system, an operating system, or a combination of one or more of them. A propagated signal is an artificially generated signal, e.g., a machine-generated electrical, optical, or electromagnetic signal, that is generated to encode information for transmission to suitable receiver apparatus.

A computer program (also known as a program, software, software application, script, or code) can be written in any form of programming language, including compiled or interpreted languages, and it can be deployed in any form, including as a stand-alone program or as a module, component, subroutine, or other unit suitable for use in a computing environment. A computer program does not necessarily correspond to a file in a file system. A program can be stored in a portion of a file that holds other programs or data (e.g., one or more scripts stored in a markup language document), in a single file dedicated to the program in question, or in multiple coordinated files (e.g., files that store one or more modules, sub programs, or portions of code). A computer program can be deployed to be executed on one computer or on multiple computers that are located at one site or distributed across multiple sites and interconnected by a communication network.

The processes and logic flows described in this document can be performed by one or more programmable processors executing one or more computer programs to perform functions by operating on input data and generating output. The processes and logic flows can also be performed by, and apparatus can also be implemented as, special purpose logic circuitry, e.g., an FPGA (field programmable gate array) or an ASIC (application specific integrated circuit).

Processors suitable for the execution of a computer program include, by way of example, both general and special purpose microprocessors, and any one or more processors of any kind of digital computer. Generally, a processor will receive instructions and data from a read only memory or a random-access memory or both. The essential elements of a computer are a processor for performing instructions and one or more memory devices for storing instructions and data. Generally, a computer will also include, or be operatively coupled to receive data from or transfer data to, or both, one or more mass storage devices for storing data, e.g., magnetic, magneto optical disks, or optical disks. However, a computer need not have such devices. Computer readable media suitable for storing computer program instructions and data include all forms of non-volatile memory, media and memory devices, including by way of example semiconductor memory devices, e.g., EPROM, EEPROM, and flash memory devices; magnetic disks, e.g., internal hard disks or removable disks; magneto optical disks; and CD ROM and DVD-ROM disks. The processor and the memory can be supplemented by, or incorporated in, special purpose logic circuitry.

While this patent document contains many specifics, these should not be construed as limitations on the scope of any subject matter or of what may be claimed, but rather as descriptions of features that may be specific to particular embodiments of particular techniques. Certain features that are described in this patent document in the context of separate embodiments can also be implemented in combination in a single embodiment. Conversely, various features that are described in the context of a single embodiment can also be implemented in multiple embodiments separately or in any suitable subcombination. Moreover, although features may be described above as acting in certain combinations and even initially claimed as such, one or more features from a claimed combination can in some cases be excised from the combination, and the claimed combination may be directed to a subcombination or variation of a subcombination.

Similarly, while operations are depicted in the drawings in a particular order, this should not be understood as requiring that such operations be performed in the particular order shown or in sequential order, or that all illustrated operations be performed, to achieve desirable results. Moreover, the separation of various system components in the embodiments described in this patent document should not be understood as requiring such separation in all embodiments.

Only a few implementations and examples are described and other implementations, enhancements and variations can be made based on what is described and illustrated in this patent document. 

What is claimed is:
 1. A method of processing video data, comprising: determining, during a conversion between a current block of a video and a bitstream of the video, a first chroma quantization parameter used in a deblocking filtering process applied to at least some samples along an edge of the current block based on a second chroma quantization parameter used in a scaling process and a quantization parameter offset associated with a bit depth; and performing the conversion based on the determining, wherein the scaling process comprises: applying a quantization on at least some coefficients representing the current block during encoding; or applying a dequantization on at least some coefficients from the bitstream during decoding.
 2. The method of claim 1, wherein the first chroma quantization parameter is equal to the second quantization parameter used in the scaling process minus the quantization parameter offset associated with the bit depth.
 3. The method of claim 1, wherein the first chroma quantization parameter is used for deblocking samples along a first side of the edge of the current block, and the first side is referred to as P-side, the P-side comprising samples located above the edge in case the edge is a horizontal boundary or to the left of the edge in case the boundary is a vertical boundary, or wherein the first chroma quantization parameter is used for deblocking samples along a second side of the edge of the current block, and the second side is referred to as Q-side, the Q-side comprising samples located below the edge in case the edge is a horizontal boundary or to the right of the edge in case the edge is a vertical boundary.
 4. The method of claim 1, wherein in case a value of a first variable indicating a mode of joint coding of chroma Cb residuals and chroma Cr residuals is equal to 2, the first chroma quantization parameter is equal to the second quantization parameter for the mode of joint coding of chroma Cb residuals and chroma Cr residuals used in the scaling process minus quantization parameter offset associated with the bit depth.
 5. The method of claim 4, wherein the second chroma quantization parameter of P-side is equal to Clip3(−QpBdOffset_(C),63,qP_(CbCr)(P)+pps_cbcr_qp_offset(P)+slice_cbcr_qp_offset(P)+CuQp Offset_(CbCr)(P))+QpBdOffset_(C), the second chroma quantization parameter of Q-side is equal to Clip3(−QpBdOffset_(C),63,qP_(CbCr)(Q)+pps_cbcr_qp_offset(Q)+slice_cbcr_qp_offset(Q)+CuQp Offset_(CbCr)(Q))+QpBdOffset_(C), and the first chroma quantization parameter of P-side is equal to Clip3(−QpBdOffset_(C),63,qP_(CbCr)(P)+pps_cbcr_qp_offset(P)+slice_cbcr_qp_offset(P)+CuQp Offset_(CbCr)(P)), the first chroma quantization parameter of Q-side is equal to Clip3(−QpBdOffset_(C),63,qP_(CbCr)(Q)+pps_cbcr_qp_offset(Q)+slice_cbcr_qp_offset(Q)+CuQp Offset_(CbCr)(Q)), and wherein qP_(CbCr)(P) and qP_(CbCr)(Q) are outputs of a chroma quantization parameter table operation based on a luma chroma quantization parameter, pps_cbcr_qp_offset(P) and pps_cbcr_qp_offset(Q) are chroma quantization parameter offsets at a picture level, slice_cbcr_qp_offset(P) and slice_cbcr_qp_offset(Q) are chroma quantization parameter offsets at a slice level, CuQpOffset_(CbCr)(P) and CuQpOffset_(CbCr)(Q) are chroma quantization parameter offsets at a block level, and QpBdOffset_(C) is the quantization parameter offset associated with a bit depth.
 6. The method of claim 5, wherein a second variable used to derive deblocking variables β and t_(C) is equal to (the first chroma quantization parameter of P-side+the first chroma quantization parameter of Q-side+1)>>1.
 7. The method of claim 4, wherein in case a value of the first variable indicating the mode of joint coding of chroma Cb residuals and chroma Cr residuals is not equal to 2, the first chroma quantization parameter is equal to the second quantization parameter for a first chroma Cb component used in the scaling process minus quantization parameter offset associated with the bit depth or the first chroma quantization parameter is equal to the second quantization parameter for a second chroma Cr component used in the scaling process minus quantization parameter offset associated with the bit depth.
 8. The method of claim 1, wherein the second quantization parameter used in the scaling process is derived at least based on chroma quantization parameter offsets at a picture level, a slice level and a block level.
 9. The method of claim 1, wherein the conversion includes encoding the video into the bitstream.
 10. The method of claim 1, wherein the conversion includes decoding the video from the bitstream.
 11. An apparatus for processing video data comprising a processor and a non-transitory memory with instructions thereon, wherein the instructions upon execution by the processor, cause the processor to: determine, during a conversion between a current block of a video and a bitstream of the video, a first chroma quantization parameter used in a deblocking filtering process applied to at least some samples along an edge of the current block based on a second chroma quantization parameter used in a scaling process and a quantization parameter offset associated with a bit depth; and perform the conversion based on the determination, wherein the scaling process comprises: applying a quantization on at least some coefficients representing the current block during encoding; or applying a dequantization on at least some coefficients from the bitstream during decoding.
 12. The apparatus of claim 11, wherein the first chroma quantization parameter is equal to the second quantization parameter used in the scaling process minus the quantization parameter offset associated with the bit depth; and wherein the first chroma quantization parameter is used for deblocking samples along a first side of the edge of the current block, and the first side is referred to as P-side, the P-side comprising samples located above the edge in case the edge is a horizontal boundary or to the left of the edge in case the boundary is a vertical boundary, or wherein the first chroma quantization parameter is used for deblocking samples along a second side of the edge of the current block, and the second side is referred to as Q-side, the Q-side comprising samples located below the edge in case the edge is a horizontal boundary or to the right of the edge in case the edge is a vertical boundary.
 13. The apparatus of claim 11, wherein in case a value of a first variable indicating a mode of joint coding of chroma Cb residuals and chroma Cr residuals is equal to 2, the first chroma quantization parameter is equal to the second quantization parameter for the mode of joint coding of chroma Cb residuals and chroma Cr residuals used in the scaling process minus quantization parameter offset associated with the bit depth; wherein the second chroma quantization parameter of P-side is equal to Clip3(−QpBdOffset_(C),63,qP_(CbCr)(P)+pps_cbcr_qp_offset(P)+slice_cbcr_qp_offset(P)+CuQp Offset_(CbCr)(P))+QpBdOffset_(C), the second chroma quantization parameter of Q-side is equal to Clip3(−QpBdOffset_(C),63,qP_(CbCr)(Q)+pps_cbcr_qp_offset(Q)+slice_cbcr_qp_offset(Q)+CuQp Offset_(CbCr)(Q))+QpBdOffset_(C), and the first chroma quantization parameter of P-side is equal to Clip3(−QpBdOffset_(C),63,qP_(CbCr)(P)+pps_cbcr_qp_offset(P)+slice_cbcr_qp_offset(P)+CuQp Offset_(CbCr)(P)), the first chroma quantization parameter of Q-side is equal to Clip3(−QpBdOffset_(C),63,qP_(CbCr)(Q)+pps_cbcr_qp_offset(Q)+slice_cbcr_qp_offset(Q)+CuQp Offset_(CbCr)(Q)), and wherein qP_(CbCr)(P) and qP_(CbCr)(Q) are outputs of a chroma quantization parameter table operation based on a luma chroma quantization parameter, pps_cbcr_qp_offset(P) and pps_cbcr_qp_offset(Q) are chroma quantization parameter offsets at a picture level, slice_cbcr_qp_offset(P) and slice_cbcr_qp_offset(Q) are chroma quantization parameter offsets at a slice level, CuQpOffset_(CbCr)(P) and CuQpOffset_(CbCr)(Q) are chroma quantization parameter offsets at a block level, and QpBdOffset_(C) is the quantization parameter offset associated with a bit depth; wherein a second variable used to derive deblocking variables β and t_(C) is equal to (the first chroma quantization parameter of P-side+the first chroma quantization parameter of Q-side+1)>>1; and wherein in case a value of the first variable indicating the mode of joint coding of chroma Cb residuals and chroma Cr residuals is not equal to 2, the first chroma quantization parameter is equal to the second quantization parameter for a first chroma Cb component used in the scaling process minus quantization parameter offset associated with the bit depth or the first chroma quantization parameter is equal to the second quantization parameter for a second chroma Cr component used in the scaling process minus quantization parameter offset associated with the bit depth.
 14. The apparatus of claim 11, wherein the second quantization parameter used in the scaling process is derived at least based on chroma quantization parameter offsets at a picture level, a slice level and a block level.
 15. A non-transitory computer-readable storage medium storing instructions that cause a processor to: determine, during a conversion between a current block of a video and a bitstream of the video, a first chroma quantization parameter used in a deblocking filtering process applied to at least some samples along an edge of the current block based on a second chroma quantization parameter used in a scaling process and a quantization parameter offset associated with a bit depth; and perform the conversion based on the determination, wherein the scaling process comprises: applying a quantization on at least some coefficients representing the current block during encoding; or applying a dequantization on at least some coefficients from the bitstream during decoding.
 16. The non-transitory computer-readable storage medium of claim 15, wherein the first chroma quantization parameter is equal to the second quantization parameter used in the scaling process minus the quantization parameter offset associated with the bit depth; wherein the first chroma quantization parameter is used for deblocking samples along a first side of the edge of the current block, and the first side is referred to as P-side, the P-side comprising samples located above the edge in case the edge is a horizontal boundary or to the left of the edge in case the boundary is a vertical boundary, or wherein the first chroma quantization parameter is used for deblocking samples along a second side of the edge of the current block, and the second side is referred to as Q-side, the Q-side comprising samples located below the edge in case the edge is a horizontal boundary or to the right of the edge in case the edge is a vertical boundary; and wherein the second quantization parameter used in the scaling process is derived at least based on chroma quantization parameter offsets at a picture level, a slice level and a block level.
 17. The non-transitory computer-readable storage medium of claim 15, wherein in case a value of a first variable indicating a mode of joint coding of chroma Cb residuals and chroma Cr residuals is equal to 2, the first chroma quantization parameter is equal to the second quantization parameter for the mode of joint coding of chroma Cb residuals and chroma Cr residuals used in the scaling process minus quantization parameter offset associated with the bit depth; wherein the second chroma quantization parameter of P-side is equal to Clip3(−QpBdOffset_(C),63,qP_(CbCr)(P)+pps_cbcr_qp_offset(P)+slice_cbcr_qp_offset(P)+CuQp Offset_(CbCr)(P))+QpBdOffset_(C), the second chroma quantization parameter of Q-side is equal to Clip3(−QpBdOffset_(C),63,qP_(CbCr)(Q)+pps_cbcr_qp_offset(Q)+slice_cbcr_qp_offset(Q)+CuQp Offset_(CbCr)(Q))+QpBdOffset_(C), and the first chroma quantization parameter of P-side is equal to Clip3(−QpBdOffset_(C),63,qP_(CbCr)(P)+pps_cbcr_qp_offset(P)+slice_cbcr_qp_offset(P)+CuQp Offset_(CbCr)(P)) , the first chroma quantization parameter of Q-side is equal to Clip3(−QpBdOffset_(C),63,qP_(CbCr)(Q)+pps_cbcr_qp_offset(Q)+slice_cbcr_qp_offset(Q)+CuQp Offset_(CbCr)(Q)), and wherein qP_(CbCr)(P) and qP_(CbCr)(Q) are outputs of a chroma quantization parameter table operation based on a luma chroma quantization parameter, pps_cbcr_qp_offset(P) and pps_cbcr_qp_offset(Q) are chroma quantization parameter offsets at a picture level, slice_cbcr_qp_offset(P) and slice_cbcr_qp_offset(Q) are chroma quantization parameter offsets at a slice level, CuQpOffset_(CbCr)(P) and CuQpOffset_(CbCr)(Q) are chroma quantization parameter offsets at a block level, and QpBdOffset_(C) is the quantization parameter offset associated with a bit depth; wherein a second variable used to derive deblocking variables β and t_(C) is equal to (the first chroma quantization parameter of P-side+the first chroma quantization parameter of Q-side30 1)>>1; and wherein in case a value of the first variable indicating the mode of joint coding of chroma Cb residuals and chroma Cr residuals is not equal to 2, the first chroma quantization parameter is equal to the second quantization parameter for a first chroma Cb component used in the scaling process minus quantization parameter offset associated with the bit depth or the first chroma quantization parameter is equal to the second quantization parameter for a second chroma Cr component used in the scaling process minus quantization parameter offset associated with the bit depth.
 18. A non-transitory computer-readable recording medium storing a bitstream of a video which is generated by a method performed by a video processing apparatus, wherein the method comprises: determining, for a current block of a video, a first chroma quantization parameter used in a deblocking filtering process applied to at least some samples along an edge of the current block based on a second chroma quantization parameter used in a scaling process and a quantization parameter offset associated with a bit depth; and generating the bitstream based on the determination; wherein the scaling process comprises: applying a quantization on at least some coefficients representing the current block during encoding; or applying a dequantization on at least some coefficients from the bitstream during decoding.
 19. The non-transitory computer-readable recording medium of claim 18, wherein the first chroma quantization parameter is equal to the second quantization parameter used in the scaling process minus the quantization parameter offset associated with the bit depth; wherein the first chroma quantization parameter is used for deblocking samples along a first side of the edge of the current block, and the first side is referred to as P-side, the P-side comprising samples located above the edge in case the edge is a horizontal boundary or to the left of the edge in case the boundary is a vertical boundary, or wherein the first chroma quantization parameter is used for deblocking samples along a second side of the edge of the current block, and the second side is referred to as Q-side, the Q-side comprising samples located below the edge in case the edge is a horizontal boundary or to the right of the edge in case the edge is a vertical boundary; and wherein the second quantization parameter used in the scaling process is derived at least based on chroma quantization parameter offsets at a picture level, a slice level and a block level.
 20. The non-transitory computer-readable recording medium of claim 18, wherein in case a value of a first variable indicating a mode of joint coding of chroma Cb residuals and chroma Cr residuals is equal to 2, the first chroma quantization parameter is equal to the second quantization parameter for the mode of joint coding of chroma Cb residuals and chroma Cr residuals used in the scaling process minus quantization parameter offset associated with the bit depth; wherein the second chroma quantization parameter of P-side is equal to Clip3(−QpBdOffset_(C),63,qP_(CbCr)(P)+pps_cbcr_qp_offset(P)+slice_cbcr_qp_offset(P)+CuQp Offset_(CbCr)(P))+QpBdOffset_(C), the second chroma quantization parameter of Q-side is equal to Clip3(−QpBdOffset_(C),63,qP_(CbCr)(Q) pps_cbcr_qp_offset(Q)+slice_cbcr_qp_offset(Q)+CuQp Offset_(CbCr)(Q))+QpBdOffset_(C), and the first chroma quantization parameter of P-side is equal to Clip3(−QpBdOffset_(C),63,qP_(CbCr)(P)+pps_cbcr_qp_offset(P)+slice_cbcr_qp_offset(P)+CuQp Offset_(CbCr)(P)), the first chroma quantization parameter of Q-side is equal to Clip3(−QpBdOffset_(C),63,qP_(CbCr)(Q)+pps_cbcr_qp_offset(Q)+slice_cbcr_qp_offset(Q)+CuQp Offset_(CbCr)(Q)), and wherein qP_(CbCr)(P) and qP_(CbCr)(Q) are outputs of a chroma quantization parameter table operation based on a luma chroma quantization parameter, pps_cbcr_qp_offset(P) and pps_cbcr_qp_offset(Q) are chroma quantization parameter offsets at a picture level, slice_cbcr_qp_offset(P) and slice_cbcr_qp_offset(Q) are chroma quantization parameter offsets at a slice level, CuQpOffset_(CbCr)(P) and CuQpOffset_(CbCr)(Q) are chroma quantization parameter offsets at a block level, and QpBdOffset_(C) is the quantization parameter offset associated with a bit depth; wherein a second variable used to derive deblocking variables β and t_(C) is equal to (the first chroma quantization parameter of P-side+the first chroma quantization parameter of Q-side+1)>>1; and wherein in case a value of the first variable indicating the mode of joint coding of chroma Cb residuals and chroma Cr residuals is not equal to 2, the first chroma quantization parameter is equal to the second quantization parameter for a first chroma Cb component used in the scaling process minus quantization parameter offset associated with the bit depth or the first chroma quantization parameter is equal to the second quantization parameter for a second chroma Cr component used in the scaling process minus quantization parameter offset associated with the bit depth. 